HR job title
- J+h.O.Hartley Professor and Department Head
- Contact Info
- Websites
- ORCiD
- 0000-0001-9155-9325
Vidakovic, Brani Professor and Department Head
Positions
- Professor and Department Head, Statistics, College of Arts and Sciences
Dr. Vidakovic's research interests include wavelets, Bayesian statistics, biostatistics, statistics in medicine, environmental statistics, and statistical signal and image processing.
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Overview
Publications
selected publications
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academic article
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Vimalajeewa, D., Bruce, S. A., & Vidakovic, B.
(2023).
Early detection of ovarian cancer by wavelet analysis of protein mass spectra. Statistics in Medicine.
42(13), 2257-2273.
-
Lim, M., Vidakovic, B., & Bae, S. J.
(2023).
Fault classification via energy based features of two-dimensional image data. 52(11), 3939-3959.
-
Atto, A. M., Vidakovic, B., & Pinheiro, A.
(2023).
Stochastic Hyperkernel Convolution Trains and h-Counting Processes. IEEE Access.
11, 16934-16942.
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Vimalajeewa, D., McDonald, E., Bruce, S. A., & Vidakovic, B.
(2022).
Wavelet-based approach for diagnosing attention deficit hyperactivity disorder (ADHD). Scientific Reports.
12(1), 21928.
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Sousa, A., Garcia, N. L., & Vidakovic, B.
(2021).
Bayesian wavelet shrinkage with beta priors. 36(2), 1341-1363.
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Feng, C., Mei, Y., & Vidakovic, B.
(2021).
Wavelet-Based Robust Estimation of Hurst Exponent with Application in Visual Impairment Classification. Journal of Data Science.
18(4), 581-605.
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Sadan, O., Feng, C., Vidakovic, B., Mei, Y., Martin, K., Samuels, O., & Hall, C. L.
(2020).
Glucose Variability as Measured by Inter-measurement Percentage Change is Predictive of In-patient Mortality in Aneurysmal Subarachnoid Hemorrhage. Neurocritical Care.
33(2), 458-467.
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Bond, L., Bowen, G., Mertens, B., Denson, K., Jordan, K., Vidakovic, B., & Mitchell, C. S.
(2020).
Associations of Patient Mood, Modulators of Quality of Life, and Pharmaceuticals with Amyotrophic Lateral Sclerosis Survival Duration. Behavioral Sciences.
10(1), 33-33.
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Montoril, M. H., Chang, W., & Vidakovic, B.
(2019).
Wavelet-Based Estimation of Generalized Discriminant Functions. 81(2), 318-349.
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Bae, S. J., Mun, B. M., Chang, W., & Vidakovic, B.
(2019).
Condition monitoring of a steam turbine generator using wavelet spectrum based control chart. Reliability Engineering & System Safety.
184, 13-20.
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Montoril, M. H., Pinheiro, A., & Vidakovic, B.
(2019).
Wavelet-based estimators for mixture regression. 46(1), 215-234.
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Soleimani, F., Vidakovic, B., DesRoches, R., & Padgett, J.
(2017).
Identification of the significant uncertain parameters in the seismic response of irregular bridges. Engineering Structures.
141, 356-372.
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Roberts, T., Newell, M., Auffermann, W., & Vidakovic, B.
(2017).
Wavelet-based scaling indices for breast cancer diagnostics. Statistics in Medicine.
36(12), 1989-2000.
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Pierce, E. L., Rabbah, J., Thiele, K., Wei, Q., Vidakovic, B., Jensen, M. O., Hung, J., & Yoganathan, A. P.
(2016).
Three-Dimensional Field Optimization Method: Gold-Standard Validation of a Novel Color Doppler Method for Quantifying Mitral Regurgitation. Journal of the American Society of Echocardiography.
29(10), 917-925.
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Safadi, T., Kang, M., Leite, I., & Vidakovic, B.
(2016).
Wavelet-based spectral descriptors for detection of damage in sunflower seeds. International Journal of Wavelets, Multiresolution and Information Processing.
14(4), 1650027-1650027.
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Walker, M. A., Hermann, C. D., Williams, J. K., Vidakovic, B., Olivares-Navarrete, R., Schwartz, Z., & Boyan, B. D.
(2016).
Automated analysis and predictive modeling of craniosynostosis with cranial suture measurements and intracranial volume asymmetries using the snake algorithm. Journal of Biomedical Engineering and Informatics.
2(2), 132-132.
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Woods, T., Preeprem, T., Lee, K., Chang, W., & Vidakovic, B.
(2016).
Characterizing exons and introns by regularity of nucleotide strings. Biology Direct.
11(1), 6.
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Safadi, T., & Vidakovic, B.
(2016).
Multiscale Characterization of Volatility of Main Stock Indexes. International Journal of Statistics and Economics.
17(2),
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Rishishwar, L., Conley, A. B., Vidakovic, B., & Jordan, I. K.
(2015).
A combined evidence Bayesian method for human ancestry inference applied to Afro-Colombians. Gene.
574(2), 345-351.
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Santangelo, P. J., Rogers, K. A., Zurla, C., Blanchard, E. L., Gumber, S., Strait, K., ... Villinger, F.
(2015).
Erratum: Whole-body immunoPET reveals active SIV dynamics in viremic and antiretroviral therapytreated macaques. 12(9), 893-893.
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Santangelo, P. J., Rogers, K. A., Zurla, C., Blanchard, E. L., Gumber, S., Strait, K., ... Villinger, F.
(2015).
Whole-body immunoPET reveals active SIV dynamics in viremic and antiretroviral therapy-treated macaques. Nature Methods.
12(5), 427-432.
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Remenyi, N., & Vidakovic, B.
(2015).
Wavelet Shrinkage with Double Weibull Prior. 44(1), 88-104.
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Gleason, R. L., Caulk, A. W., Seifu, D., Parker, I., Vidakovic, B., Getenet, H., Assefa, G., & Amogne, W.
(2015).
Current Efavirenz (EFV) or ritonavir-boosted lopinavir (LPV/r) use correlates with elevate markers of atherosclerosis in HIV-infected subjects in Addis Ababa, Ethiopia. PLoS ONE.
10(4), e0117125-e0117125.
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Dolatshahi, S., Vidakovic, B., & Voit, E. O.
(2014).
A constrained wavelet smoother for pathway identification tasks in systems biology. Computers and Chemical Engineering.
71, 728-733.
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Remenyi, N., Nicolis, O., Nason, G., & Vidakovic, B.
(2014).
Image denoising with 2D scale-mixing complex wavelet transforms. 23(12), 5165-5174.
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Jeon, S., Nicolis, O., & Vidakovic, B.
(2014).
Mammogram Diagnostics via 2-D Complex Wavelet-based Self-similarity Measures. Sao Paulo Journal of Mathematical Sciences.
8(2), 265-265.
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Coeurjolly, J., Lee, K., & Vidakovic, B.
(2014).
Variance Estimation for Fractional Brownian Motions with Fixed Hurst Parameters. 43(8), 1845-1858.
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Hermann, C. D., Richards, M. A., Chang, R., Olivares-Navarrete, R., Williams, J. K., Guldberg, R. E., ... Boyan, B. D.
(2013).
Biphasic fusion of the murine posterior frontal suture. 131(4), 727-740.
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Ramirez-Cobo, P., & Vidakovic, B.
(2013).
A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms. Computational Statistics and Data Analysis.
58, 71-81.
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Remenyi, N., & Vidakovic, B.
(2013).
Lambda-neighborhood wavelet shrinkage. Computational Statistics and Data Analysis.
57(1), 404-416.
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Park, Y., Lee, K., Ziegler, T. R., Martin, G. S., Hebbar, G., Vidakovic, B., & Jones, D. P.
(2013).
Multifractal analysis for nutritional assessment. PLoS ONE.
8(8), e69000-e69000.
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McKay, J. L., Welch, T., Vidakovic, B., & Ting, L. H.
(2013).
Statistically significant contrasts between EMG waveforms revealed using wavelet-based functional ANOVA. Journal of Neurophysiology.
109(2), 591-602.
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Green, J. O., Diab, T., Allen, M. R., Vidakovic, B., Burr, D. B., & Guldberg, R. E.
(2012).
Three years of alendronate treatment does not continue to decrease microstructural stresses and strains associated with trabecular microdamage initiation beyond those at 1year. OSTEOPOROSIS INTERNATIONAL.
23(9), 2313-2320.
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Lee, K., & Vidakovic, B.
(2012).
Semi-supervised wavelet shrinkage. Computational Statistics and Data Analysis.
56(6), 1681-1691.
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Wu, J., Vidakovic, B., & Voit, E. O.
(2011).
Constructing stochastic models from deterministic process equations by propensity adjustment. BMC Systems Biology.
5(1), 187.
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Green, J. O., Wang, J., Diab, T., Vidakovic, B., & Guldberg, R. E.
(2011).
Age-related differences in the morphology of microdamage propagation in trabecular bone. Journal of Biomechanics.
44(15), 2659-2666.
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Green, J. O., Nagaraja, S., Diab, T., Vidakovic, B., & Guldberg, R. E.
(2011).
Age-related changes in human trabecular bone: Relationship between microstructural stress and strain and damage morphology. Journal of Biomechanics.
44(12), 2279-2285.
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Ramirez-Cobo, P., Lee, K. S., Molini, A., Porporato, A., Katul, G., & Vidakovic, B.
(2011).
A wavelet-based spectral method for extracting self-similarity measures in time-varying two-dimensional rainfall maps. 32(4), 351-363.
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Patterson, S. G., Bayer, C. W., Hendry, R. J., Sellers, N., Lee, K. S., Vidakovic, B., Mizaikoff, B., & Gabram-Mendola, S.
(2011).
Breath analysis by mass spectrometry: a new tool for breast cancer detection?. American Surgeon.
77(6), 747-751.
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Poggi, D., Katul, G. G., & Vidakovic, B.
(2011).
The Role of Wake Production on the Scaling Laws of Scalar Concentration Fluctuation Spectra Inside Dense Canopies. 139(1), 83-95.
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Barker, L. K., Griffin, S. O., Jeon, S., Gray, S. K., & Vidakovic, B.
(2011).
Ecological-type inference in matched-pair studies with fixed marginal totals. Statistics in Medicine.
30(5), 541-548.
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Nicolis, O., Ramirez-Cobo, P., & Vidakovic, B.
(2011).
2D wavelet-based spectra with applications. Computational Statistics and Data Analysis.
55(1), 738-751.
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Chen, H., Nicolis, O., & Vidakovic, B.
(2010).
Multiscale forecasting method using ARMAX models. Current Development in Theory and Applications of Wavelets.
4(3), 267-287.
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O'Neal, J. M., Diab, T., Allen, M. R., Vidakovic, B., Burr, D. B., & Guldberg, R. E.
(2010).
One year of alendronate treatment lowers microstructural stresses associated with trabecular microdamage initiation. BONE.
47(2), 241-247.
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Lee, K. S., Abouelnasr, M. F., Bayer, C. W., Gabram, S., Mizaikoff, B., Rogatko, A., & Vidakovic, B.
(2010).
Mining Exhaled Volatile Organic Compounds for Breast Cancer Detection. Advances and Applications in Statistical Sciences.
1(2), 327-342.
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Ramirez, P., & Vidakovic, B.
(2010).
Wavelet density estimation for stratified size-biased sample. Journal of Statistical Planning and Inference.
140(2), 419-432.
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Lee, K. S., Kim, J., & Vidakovic, B.
(2010).
Regularity of Irregularity: Testing for Monofractality by Multifractal Tools. International Journal of Mathematics and Computer Science.
5, 65-85.
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Kim, S., Young, C., Vidakovic, B., Gabram-Mendola, S., Bayer, C. W., & Mizaikoff, B.
(2010).
Potential and Challenges for Mid-Infrared Sensors in Breath Diagnostics. 10(1), 145-158.
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Jung, Y. Y., Park, Y., Jones, D. P., Ziegler, T. R., & Vidakovic, B.
(2010).
Self-similarity in NMR Spectra: An Application in Assessing the Level of Cysteine. Journal of Data Science.
8(1), 1-19.
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Lund, R., Bassily, H., & Vidakovic, B.
(2009).
Testing equality of stationary autocovariances. 30(3), 332-348.
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Nicolis, O., & Vidakovic, B.
(2009).
On Some Properties of Autoregressive Wavelet Coefficients. Current Development in Theory and Applications of Wavelets.
3(1), 31-38.
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Cutillo, L., Jung, Y. Y., Ruggeri, F., & Vidakovic, B.
(2008).
Larger posterior mode wavelet thresholding and applications. Journal of Statistical Planning and Inference.
138(12), 3758-3773.
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Rogatko, A., Ghosh, P., Vidakovic, B., & Tighiouart, M.
(2008).
Patient-Specific Dose Adjustment in the Cancer Clinical Trial Setting. Pharmaceutical Medicine.
22(6), 345-350.
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Lavrik, I., Jung, Y. Y., Ruggeri, F., & Vidakovic, B.
(2008).
Bayesian False Discovery Rate wavelet shrinkage: Theory and applications. Communications in Statistics: Simulation and Computation.
37(6), 1086-1100.
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Bayer, C. W., Gabram, S. G., Hendry, R. J., Sellers, N., Lund, M. B., Thompson, W., Vidakovic, B., & Mizaikoff, B.
(2008).
Breath analysis as a method for breast cancer early detection. Journal of Clinical Oncology.
26(15), 1522-1522.
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Griffin, S. O., Oong, E., Kohn, W., Vidakovic, B., Gooch, B. F., CDC Dental Sealant Systematic Review Work Group, .., ... Zero, D. T.
(2008).
The effectiveness of sealants in managing caries lesions. Journal of Dental Research.
87(2), 169-174.
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Yi, J. S., Jung, Y. Y., Jacko, J. A., Sainfort, F., & Vidakovic, B.
(2007).
Two-step wavestrapping: simulating non-stationary acceleration data in the mobile computing context. Current Development in Theory and Applications of Wavelets.
1(3), 251-272.
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Pensky, M., Vidakovic, B., & De Canditiis, D.
(2007).
Bayesian decision theoretic scale-adaptive estimation of a log-spectral density. STATISTICA SINICA.
17(2), 635-666.
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Moloney, K. P., Jacko, J. A., Vidakovic, B., Sainfort, F., Leonard, V. K., & Shi, B.
(2006).
Leveraging data complexity: Pupillary behavior of older adults with visual impairment during HCI. ACM Transactions on Computer - Human Interaction.
13(3), 376-402.
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Katul, G., Ruggeri, F., & Vidakovic, B.
(2006).
Denoising ozone concentration measurements with BAMS filtering. Journal of Statistical Planning and Inference.
136(7), 2395-2405.
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Shi, B., Moloney, K. P., Pan, Y., Leonard, V. K., Vidakovic, B., Jacko, J. A., & Sainfort, F.
(2006).
Wavelet classification of high frequency pupillary responses. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION.
76(5), 431-446.
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Jeong, M. K., Lu, J. C., Huo, X. M., Vidakovic, B., & Chen, D.
(2006).
Wavelet-based data reduction techniques for process fault detection. Technometrics.
48(1), 26-40.
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Angelini, C., Cava, D., Katul, G., & Vidakovic, B.
(2005).
Resampling hierarchical processes in the wavelet domain: A case study using atmospheric turbulence. Physica D : Non-linear phenomena.
207(1-2), 24-40.
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Shi, B., Vidakovic, B., Katul, G. G., & Albertson, J. D.
(2005).
Assessing the effects of atmospheric stability on the fine structure of surface layer turbulence using local and global multiscale approaches. Physics of Fluids.
17(5), 055104-055104.
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Zhang, Y., Augenbroe, G., Choudhary, R., & Vidakovic, B.
(2005).
A simplified method to estimate the free path length variance. Journal of the Acoustical Society of America.
117(4), 2580-2580.
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ABRAMOVICH, F., ANTONIADIS, A., SAPATINAS, T., & VIDAKOVIC, B.
(2004).
OPTIMAL TESTING IN A FIXED-EFFECTS FUNCTIONAL ANALYSIS OF VARIANCE MODEL. International Journal of Wavelets, Multiresolution and Information Processing.
2(04), 323-349.
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De Canditiis, D., & Vidakovic, B.
(2004).
Wavelet Bayesian block shrinkage via mixtures of normal-inverse gamma priors. Journal of Computational and Graphical Statistics.
13(2), 383-398.
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Angelini, C., & Vidakovic, B.
(2004).
-MINIMAX WAVELET SHRINKAGE: A ROBUST INCORPORATION OF INFORMATION ABOUT ENERGY OF A SIGNAL IN DENOISING APPLICATIONS. STATISTICA SINICA.
14(1), 103-125.
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Angelini, C., & Vidakovic, B.
(2004).
Gamma-minimax wavelet shrinkage: A robust incorporation of information about energy of a signal in denoising applications. STATISTICA SINICA.
14(1), 103-125.
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Ario, M. A., Morettin, P. A., & Vidakovic, B.
(2004).
Wavelet scalograms and their applications in economic time series. Brazilian Journal of Probability and Statistics.
18(1), 37-51.
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Vidakovic, B., & Lund, R.
(2003).
Editor's Foreword. Applied Stochastic Models in Business and Industry.
19(3), 169-169.
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Chang, W. J., Kim, S. H., & Vidakovic, B.
(2003).
Wavelet-based estimation of a discriminant function. Applied Stochastic Models in Business and Industry.
19(3), 185-198.
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Katul, G. G., Angelini, C., De Canditiis, D., Amato, U., Vidakovic, B., & Albertson, J. D.
(2003).
Are the effects of large scale flow conditions really lost through the turbulent cascade?. Geophysical Research Letters.
30(4),
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Chang, W., & Vidakovic, B.
(2002).
Wavelet estimation of a base-line signal from repeated noisy measurements by vertical block shrinkage. 40(2), 317-328.
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Pensky, M., & Vidakovic, B.
(2001).
On Non-Equally Spaced Wavelet Regression. Annals of the Institute of Statistical Mathematics.
53(4), 681-690.
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Katul, G., Lai, C., Schfer, K., Vidakovic, B., Albertson, J., Ellsworth, D., & Oren, R.
(2001).
Multiscale analysis of vegetation surface fluxes: from seconds to years. Advances in Water Resources.
24(9-10), 1119-1132.
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Katul, G. G., Lai, C. T., Albertson, J. D., Vidakovic, B., Schafer, K., Hsieh, C. I., & Oren, R.
(2001).
Quantifying the complexity in mapping energy inputs and hydrologic state variables into land-surface fluxes. 28(17), 3305-3307.
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Vidakovic, B., & Ruggeri, F.
(2001).
BAMS Method: Theory and Simulations. Sankhyā: The Indian Journal of Statistics, Series B (1960-2002).
63(2), 234-249.
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Vidakovic, B.
(2001).
Regularization of wavelet approximations - Discussion. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.
96(455), 956-958.
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Vidakovic, B., & Ruggeri, F.
(2001).
BAMS Method: Theory and Simulations. Sankhya B - Applied and Interdisciplinary Statistics.
63(2 (Special Issue on Wavelets)), 234-249.
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Katul, G., Vidakovic, B., & Albertson, J.
(2001).
Estimating global and local scaling exponents in turbulent flows using discrete wavelet transformations. Physics of Fluids.
13(1), 241-250.
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Vidakovic, B. D., Katul, G. G., & Albertson, J. D.
(2000).
Multiscale denoising of self-similar processes. 105(D22), 27049-27058.
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Tao, T., & Vidakovic, B.
(2000).
Almost everywhere behavior of general wavelet shrinkage operators. Applied and Computational Harmonic Analysis.
9(1), 72-82.
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Insua, D. R., & Vidakovic, B.
(2000).
Wavelet-based random densities. Computational Statistics.
15(2), 183-203.
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Pensky, M., & Vidakovic, B.
(1999).
Adaptive wavelet estimator for nonparametric density deconvolution. ANNALS OF STATISTICS.
27(6), 2033-2053.
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Vidakovic, B., & Ruggeri, F.
(1999).
Expansion estimation by Bayes rules. Journal of Statistical Planning and Inference.
79(2), 223-235.
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Vidakovic, B.
(1999).
Linear Versus Nonlinear Rules for Mixture Normal Priors. Annals of the Institute of Statistical Mathematics.
51(1), 111-124.
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Ruggeri, F., & Vidakovic, B.
(1999).
A BAYESIAN DECISION THEORETIC APPROACH TO THE CHOICE OF THRESHOLDING PARAMETER. STATISTICA SINICA.
9(1), 183-197.
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Katul, G. G., Geron, C. D., Hsieh, C., Vidakovic, B., & Guenther, A. B.
(1998).
Active Turbulence and Scalar Transport near the ForestAtmosphere Interface. JOURNAL OF APPLIED METEOROLOGY.
37(12), 1533-1546.
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Mller, P., Vidakovic, B., & Muller, P.
(1998).
Bayesian Inference with Wavelets: Density Estimation. Journal of Computational and Graphical Statistics.
7(4), 456-456.
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Mller, P., & Vidakovic, B.
(1998).
Bayesian Inference with Wavelets: Density Estimation. Journal of Computational and Graphical Statistics.
7(4), 456-468.
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Vidakovic, B., & Lozoya, C. B.
(1998).
On time-dependent wavelet denoising. 46(9), 2549-2554.
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Clyde, M.
(1998).
Multiple shrinkage and subset selection in wavelets. Biometrika.
85(2), 391-401.
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Katul, G. G., Schieldge, J., Hsieh, C., & Vidakovic, B.
(1998).
Skin temperature perturbations induced by surface layer turbulence above a grass surface. Water Resources Research.
34(5), 1265-1274.
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Vidakovic, B.
(1998).
Nonlinear Wavelet Shrinkage with Bayes Rules and Bayes Factors. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION.
93(441), 173-179.
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Katul, G., & Vidakovic, B.
(1998).
Identification of Low-Dimensional Energy Containing/Flux Transporting Eddy Motion in the Atmospheric Surface Layer Using Wavelet Thresholding Methods. Journal of the Atmospheric Sciences.
55(3), 377-389.
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DasGupta, A., & Vidakovic, B.
(1997).
Sample size problems in ANOVA Bayesian point of view. Journal of Statistical Planning and Inference.
65(2), 335-347.
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Pinheiro, A., & Vidakovic, B.
(1997).
Estimating the square root of a density via compactly supported wavelets. Computational Statistics and Data Analysis.
25(4), 399-415.
-
Vannucci, M., & Vidakovic, B.
(1997).
Preventing the Dirac disaster: Wavelet based density estimation. Statistical Methods & Applications.
6(2), 145-159.
-
Vidakovic, B.
(1997).
On -Minimax Estimation with Ordered Observations. Sankhya: The Indian Journal of Statistics.
59(3), 366-375.
-
Vidakovic, B.
(1996).
A note on random densities via wavelets. Statistics and Probability Letters.
26(4), 315-321.
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Vidakovic, B., & Dasgupta, A.
(1996).
Efficiency of Linear Rules for Estimating a Bounded Normal Mean. Sankhya: The Indian Journal of Statistics.
58(1), 81-100.
-
Katul, G., & Vidakovic, B.
(1996).
The partitioning of attached and detached eddy motion in the atmospheric surface layer using Lorentz wavelet filtering. Boundary-Layer Meteorology: an international journal of physical and biological processes in the atmospheric boundary layer.
77(2), 153-172.
-
Nebel, E. C., Lee, J., & Vidakovic, B.
(1995).
Hotel general manager career paths in the United States. International Journal of Hospitality Management.
14(3-4), 245-260.
-
Vidakovic, B., & Dasgupta, A.
(1995).
Lower bounds on Bayes risks for estimating a normal variance: With applications. Canadian Journal of Statistics.
23(3), 269-282.
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INSUA, D. R., RUGGERI, F., & VIDAKOVIC, B.
(1995).
SOME RESULTS ON POSTERIOR REGRET - ESTIMATION. Statistics and Risk Modeling.
13(4), 315-332.
-
Mukhopadhyay, S., & Vidakovic, B.
(1995).
Efficiency of Linear Bayes Rules for a Normal Mean: Skewed Priors Class. Journal of the Royal Statistical Society Series D (The Statistician).
44(3), 389-397.
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Vidakovic, B.
(1994).
All Roads Lead to Rome-Even in the Honeycomb World. American Statistician.
48(3), 234-234.
-
Vidakovic, B.
(1994).
All Roads Lead to RomeEven in the Honeycomb World. American Statistician.
48(3), 234-236.
-
Vidakovic, B., & Insua, D. R.
(1994).
Some efficient simple rules in -minimax estimation. Communications in Statistics: Simulation and Computation.
23(2), 393-413.
-
Vidakovic, B.
(1993).
On the efficiency of affine minimax rules in estimating a bounded multivariate normal mean. Communications in Statistics: Simulation and Computation.
22(3), 655-669.
-
Stojanovic, S., & Vidakovic, B.
(1987).
Some properties of the combinational measure of complexity of binary words. Institut Mathematique.
42, 143-147.
-
Vidakovic, B.
(1985).
An effective measure of complexity of binary words. Matematički Vesnik.
37, 327-332.
-
Vidakovic, B.
(1983).
Some characteristics of the process measure of the amount of information. Institut Mathematique.
33, 235-238.
-
Vimalajeewa, D., Bruce, S. A., & Vidakovic, B.
(2023).
Early detection of ovarian cancer by wavelet analysis of protein mass spectra. Statistics in Medicine.
42(13), 2257-2273.
-
book
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Morettin, P. A., Pinheiro, A., & Vidakovic, B.
(2017).
Wavelets in Functional Data Analysis. Springer Nature.
-
Vidakovic, B.
(2017).
Engineering Biostatistics An Introduction using MATLAB and WinBUGS. JOhn Wiley & Sons.
-
Vidakovic, B.
(2011).
Statistics for Bioengineering Sciences, With MATLAB and WinBUGS Support. Springer Nature.
-
Kvam, P. H., & Vidakovic, B.
(2007).
Nonparametric Statistics with Applications to Science and Engineering Introduction. Wiley.
-
Ogden, R. T., & Vidakovic, B.
(2000).
Statistical Modeling by Wavelets. Ed. 95.
JSTOR.
-
Vidakovic, B.
(1999).
Statistical Modeling by Wavelets. Wiley-Interscience.
-
Morettin, P. A., Pinheiro, A., & Vidakovic, B.
(2017).
Wavelets in Functional Data Analysis. Springer Nature.
-
chapter
-
Feng, C., Mei, Y., & Vidakovic, B.
(2018).
Mammogram Diagnostics Using Robust Wavelet-Based Estimator of Hurst Exponent. New Frontiers of Biostatistics and Bioinformatics.
(pp. 109-140).
Springer Nature.
-
Vidakovic, B.
(2014).
Margin of Error. Wiley StatsRef: Statistics Reference Online.
Wiley.
-
Remnyi, N., & Vidakovic, B.
(2013).
Bayesian Wavelet Shrinkage Strategies: A Review. Multiscale Signal Analysis and Modeling.
(pp. 317-346).
Springer Nature.
-
Vidakovic, B.
(2012).
Transforms in Statistics. Handbook of Computational Statistics.
(pp. 203-242).
Springer Nature.
-
Derado, G., Lee, K., Nicolis, O., Bowman, F. D., Newell, M., Rugger, F. F., & Vidakovic, B.
(2008).
Wavelet-based 3-D multifractal spectrum with applications in breast MRI images. Lecture Notes in Artificial Intelligence.
Bioinformatics Research and Applications.
(pp. 281-+).
Springer Nature.
-
Kvam, P. H., & Vidakovic, B.
(2007).
Nonparametric Statistics with Applications to Science and Engineering Preface. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. XI-XIV).
Wiley.
-
Shi, B., Moloney, K. P., Leonard, V. K., Jacko, J., Sainfort, F., & Vidakovic, B.
(2007).
MULTIFRACTAL DISCRIMINATION MODEL (MDM) OF HIGH-FREQUENCY PUPIL DIAMETER MEASUREMENTS FOR HUMAN-COMPUTER INTERACTION. Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques.
(pp. 333-350).
World Scientific Publishing.
-
Kvam, P. H., & Vidakovic, B.
(2007).
Appendix A: MATLAB. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 369-395).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Appendix B: WinBUGS. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 397-403).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Bayesian Statistics. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 47-68).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Beyond Linear Regression. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 217-240).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Bootstrap. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 285-305).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Categorical Data. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 153-181).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Curve Fitting Techniques. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 241-261).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Density Estimation. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 205-216).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Designed Experiments. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 141-152).
-
Kvam, P. H., & Vidakovic, B.
(2007).
EM Algorithm. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 307-321).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Estimating Distribution Functions. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 183-203).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Goodness of Fit. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 81-114).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Nonparametric Bayes. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 349-367).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Order Statistics. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 69-80).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Probability Basics. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 9-32).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Rank Tests. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 115-139).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Statistical Learning. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 323-347).
-
Kvam, P. H., & Vidakovic, B.
(2007).
Statistics Basics. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 33-46).
-
Derado, G., Bowman, F. D., Patel, R., Newell, M., & Vidakovic, B.
(2007).
Wavelet image interpolation (WII): A wavelet-based approach to enhancement of digital mammography images. Lecture Notes in Artificial Intelligence.
Bioinformatics Research and Applications.
(pp. 203-+).
Springer Nature.
-
Kvam, P. H., & Vidakovic, B.
(2007).
Wavelets. NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING.
(pp. 263-283).
-
Kotz, S., Read, C. B., Balakrishnan, N., Vidakovic, B., & Johnson, N. L.
(2005).
Data Safety and Monitoring Board (DSMB). Encyclopedia of Statistical Sciences.
(pp. 1-1).
Wiley.
-
Vidakovic, B.
(2005).
Margin of Error. Encyclopedia of Statistical Sciences.
Wiley.
-
Kotz, S., Read, C. B., Balakrishnan, N., Vidakovic, B., & Johnson, N. L.
(2005).
Secondary Efficacy Endpoints. Rockhold, F., & Segreti, T. (Eds.),
Encyclopedia of Statistical Sciences.
(pp. 1-8).
Wiley.
-
Ruggeri, F., & Vidakovic, B.
(2005).
Bayesian Modeling in the Wavelet Domain. Handbook of Statistics.
Bayesian Thinking - Modeling and Computation.
(pp. 315-338).
Elsevier.
-
Moloney, K. P., Leonard, V. K., Shi, B., Jacko, J. A., Vidakovic, B., & Sainfort, F.
(2005).
From extraneous noise to categorizable signatures: Using multi-scale analyses to assess implicit interaction needs of older adults with visual impairments. Lecture Notes in Artificial Intelligence.
Human-Computer Interaction - INTERACT 2005.
(pp. 1108-1111).
Springer Nature.
-
Vidakovic, B.
(2000).
-Minimax: A Paradigm for Conservative Robust Bayesians. Robust Bayesian Analysis.
(pp. 241-259).
Springer Nature.
-
Vidakovic, B.
(1999).
Some Generalizations. Statistical Modeling by Wavelets.
(pp. 119-166).
Wiley.
-
Vidakovic, B.
(1999).
Wavelets. Statistical Modeling by Wavelets.
(pp. 43-99).
Wiley.
-
Vidakovic, B.
(1999).
Bayesian Methods in Wavelets. Statistical Modeling by Wavelets.
(pp. 247-269).
Wiley.
-
Vidakovic, B.
(1999).
Density Estimation. Statistical Modeling by Wavelets.
(pp. 217-245).
Wiley.
-
Vidakovic, B.
(1999).
Discrete Wavelet Transformation. Statistical Modeling by Wavelets.
(pp. 101-117).
Wiley.
-
Vidakovic, B.
(1999).
Introduction. Statistical Modeling by Wavelets.
(pp. 1-21).
Wiley.
-
Vidakovic, B.
(1999).
Miscellaneous Statistical Applications. Statistical Modeling by Wavelets.
(pp. 319-343).
Wiley.
-
Vidakovic, B.
(1999).
Notation Index. Statistical Modeling by Wavelets.
(pp. 371-372).
Wiley.
-
Vidakovic, B.
(1999).
Prerequisites. Statistical Modeling by Wavelets.
(pp. 23-41).
Wiley.
-
Vidakovic, B.
(1999).
Wavelet Shrinkage. Statistical Modeling by Wavelets.
(pp. 167-215).
Wiley.
-
Vidakovic, B.
(1999).
WaveletBased Random Variables and Densities. Statistical Modeling by Wavelets.
(pp. 299-318).
Wiley.
-
Vidakovic, B.
(1999).
Wavelets and Random Processes. Statistical Modeling by Wavelets.
(pp. 271-298).
Wiley.
-
Vidakovic, B.
(1999).
Wiley Series in Probability and Statistics. Statistical Modeling by Wavelets.
(pp. i-viii).
Wiley.
-
Vidakovic, B., & Mller, P.
(1999).
An Introduction to Wavelets. Bayesian Inference in Wavelet-Based Models.
(pp. 1-18).
Springer Nature.
-
Mller, P., & Vidakovic, B.
(1999).
MCMC Methods in Wavelet Shrinkage: Non-Equally Spaced Regression, Density and Spectral Density Estimation. Bayesian Inference in Wavelet-Based Models.
(pp. 187-202).
Springer Nature.
-
Vidakovic, B.
(1998).
Wavelet-Based Nonparametric Bayes Methods. Practical Nonparametric and Semiparametric Bayesian Statistics.
(pp. 133-155).
Springer Nature.
-
Feng, C., Mei, Y., & Vidakovic, B.
(2018).
Mammogram Diagnostics Using Robust Wavelet-Based Estimator of Hurst Exponent. New Frontiers of Biostatistics and Bioinformatics.
(pp. 109-140).
Springer Nature.
-
conference paper
-
Kim, I., Begovic, M., Vidakovic, B., Djuric, P., & Jeremic, V.
(2017).
Impact of Short-Term Variations in the Generation Output of Geographically Dispersed PV Systems. Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences.
3003-3010.
-
Huang, T., Drake, B., Aalfs, D., & Vidakovic, B.
(2014).
Nonlinear Adaptive Filtering with Dimension Reduction in the Wavelet Domain. Data Compression Conference Proceedings.
408-408.
-
Hamilton, E. K., Jeon, S., Ramirez Cobo, P., Lee, K. S., & Vidakovic, B.
(2011).
Diagnostic Classification of Digital Mammograms by Wavelet-Based Spectral Tools: A Comparative Study. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine.
384-389.
-
Patterson, S. G., Bayer, C. W., Hendry, R. J., Sellers, N., Lee, K. S., Vidakovic, B., Mizaikoff, B., & Gabram, S.
(2010).
Breath Analysis by Mass Spectrometry: A New Tool for Breast Cancer Detection?. ANNALS OF SURGICAL ONCOLOGY.
S185-S185.
-
Le Faucheur, X., Vidakovic, B., & Tannenbaum, A.
(2007).
Bayesian spherical wavelet shrinkage: Applications to shape analysis. Proceedings of SPIE.
67630g-67630g-11.
-
Begovic, M., Diuric, P., Perkel, J., Vidakovic, B., & Novosei, D.
(2006).
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies. Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences.
1-8.
-
Vidakovic, B.
(1997).
Wavelet random variables. Proceedings of SPIE.
315-325.
-
Vidakovic, B.
(1995).
Unbalancing data with wavelet transformations. Proceedings of SPIE.
845-857.
-
Kim, I., Begovic, M., Vidakovic, B., Djuric, P., & Jeremic, V.
(2017).
Impact of Short-Term Variations in the Generation Output of Geographically Dispersed PV Systems. Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences.
3003-3010.
-
institutional repository document
-
Vimalajeewa, D., McDonald, E., Bruce, S. A., & Vidakovic, B.
(2022).
Wavelet-based Approach for Diagnosing Attention Deficit Hyperactivity Disorder (ADHD)
-
Vimalajeewa, D., McDonald, E., Bruce, S. A., & Vidakovic, B.
(2022).
Wavelet-based Approach for Diagnosing Attention Deficit Hyperactivity Disorder (ADHD)
-
Vimalajeewa, D., Bruce, S. A., & Vidakovic, B.
(2022).
Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra
-
Vimalajeewa, D., & Vidakovic, B.
(2022).
Gamma-Minimax Wavelet Shrinkage with Three-Point Priors
-
Kang, M., Auffermann, W., & Vidakovic, B.
(2022).
Non-decimated 2D Wavelet Spectrum and Its Use in Breast Cancer Diagnostics
-
Hamilton, E. K., Jeon, S., Cobo, P. R., Lee, K. S., & Vidakovic, B.
(2022).
Robust Wavelet-based Assessment of Scaling with Applications
-
Montoril, M. H., Pinheiro, A., & Vidakovic, B.
(2021).
Wavelet-based estimation of power densities of size-biased data
-
Sousa, A., Garcia, N. L., & Vidakovic, B.
(2019).
Bayesian Wavelet Shrinkage with Beta Priors
-
Kong, T., & Vidakovic, B.
(2019).
Non-decimated Quaternion Wavelet Spectral Tools with Applications
-
Kong, T., & Vidakovic, B.
(2019).
Non-decimated Complex Wavelet Spectral Tools with Applications
-
Grez, G., & Vidakovic, B.
(2018).
Least Squares Wavelet-based Estimation for Additive Regression Models using Non Equally-Spaced Designs
-
Reményi, N., & Vidakovic, B.
(2018).
Bayesian nonparametric regression using complex wavelets
-
Grez, G., & Vidakovic, B.
(2018).
Empirical Wavelet-based Estimation for Non-linear Additive Regression Models
-
Grez, G., & Vidakovic, B.
(2017).
An Empirical approach to Survival Density Estimation for randomly-censored data using Wavelets
-
Feng, C., & Vidakovic, B.
(2017).
Estimation of the Hurst Exponent Using Trimean Estimators on Nondecimated Wavelet Coefficients
-
Kang, M., & Vidakovic, B.
(2017).
MEDL and MEDLA: Methods for Assessment of Scaling by Medians of Log-Squared Nondecimated Wavelet Coefficients
-
Kang, M., & Vidakovic, B.
(2016).
A note on Bayesian wavelet-based estimation of scaling
-
Kang, M., & Vidakovic, B.
(2016).
WavmatND: A MATLAB Package for Non-Decimated Wavelet Transform and its Applications
-
Vimalajeewa, D., McDonald, E., Bruce, S. A., & Vidakovic, B.
(2022).
Wavelet-based Approach for Diagnosing Attention Deficit Hyperactivity Disorder (ADHD)
editor of
-
book
-
(2005).
Encyclopedia of Statistical Sciences, 16 Volume Set, 2nd Edition
Kotz, S., Read, C. B., Balakrishnan, N., & Vidakovic, B. (Eds.),
Wiley-Interscience.
-
Mller, P.
(1999).
Bayesian Inference in Wavelet-Based Models
Müller, P., & Vidakovic, B. (Eds.),
Springer.
-
(2005).
Encyclopedia of Statistical Sciences, 16 Volume Set, 2nd Edition
Kotz, S., Read, C. B., Balakrishnan, N., & Vidakovic, B. (Eds.),
Wiley-Interscience.
Teaching
teaching activities
- STAT684 Professional Internship Instructor
- STAT685 Directed Studies Instructor
- STAT689 Sptp:stat Appl Wavelets Instructor
- STAT689 Sptp:stat Applic Of Wavelets Instructor
- STAT691 Research Instructor
- STAT693 Stat Consulting & Ethics Instructor
- STAT695 Frontiers In Stat Research Instructor
Background
education and training
- Ph.D. in Statistics, Purdue University - (West Lafayette, Indiana, United States) 1992
- M.S. in Mathematics, University of Belgrade - (Belgrade, Serbia) 1981
- B.S. in Mathematics, University of Belgrade - (Belgrade, Serbia) 1978
Contact
first name
- Brani
has last name
- Vidakovic
Other
- brani@stat.tamu.edu