JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION - Texas A&M University (TAMU) Scholar

publication venue for

Handbook of Matching and Weighting Adjustments for Causal Inference 2024
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data. ahead-of-print:1-15. 2023
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity. 1-14. 2022
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models. 1-15. 2021
Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data. 116:581-593. 2021
Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology.. 116:1075-1087. 2021
Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records. 115:1620-1634. 2020
Parsimonious Model Averaging With a Diverging Number of Parameters.. 115:972-984. 2020
Empirical Frequency Band Analysis of Nonstationary Time Series.. 115:1933-1945. 2020
Specific Brain Morphometric Changes in Spinal Cord Injury: A Voxel-Based Meta-Analysis of White and Gray Matter Volume.. 36:2348-2357. 2019
Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets. 114:1050-1062. 2019
Probabilistic Community Detection With Unknown Number of Communities. 114:893-905. 2019
Bayesian Graphical Regression.. 114:184-197. 2019
Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics.. 114:48-60. 2019
Partially Linear Functional Additive Models for Multivariate Functional Data. 114:406-418. 2019
A Powerful Bayesian Test for Equality of Means in High Dimensions.. 113:1733-1741. 2018
On the Null Distribution of Bayes Factors in Linear Regression.. 113:1362-1371. 2018
Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates. 113:746-754. 2018
Bayesian Semiparametric Multivariate Density Deconvolution.. 113:401-416. 2018
BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data. 113:81-94. 2018
A Semiparametric Single-Index Risk Score Across Populations.. 112:1648-1662. 2017
Linear Model Selection when Covariates Contain Errors.. 112:1553-1561. 2017
A Multi-Resolution Approximation for Massive Spatial Datasets. 112:201-214. 2017
On the Reproducibility of Psychological Science.. 112:1-10. 2017
PLMET: A Novel Pseudolikelihood-Based EM Test for Homogeneity in Generalilzed Exponential Tilt Mixture Models.. 112:1393-1404. 2017
Simultaneous Inference for High-Dimensional Linear Models. 112:757-768. 2017
Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework. 112:779-793. 2017
Analysis of Proportional Odds Models With Censoring and Errors-in-Covariates. 111:1301-1312. 2016
Simultaneous Sparse Estimation of Canonical Vectors in the p N Setting. 111:696-706. 2016
Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources.. 111:107-117. 2016
Collective Estimation of Multiple Bivariate Density Functions With Application to Angular-Sampling-Based Protein Loop Modeling. 111:43-56. 2016
Rejoinder. 111:130-131. 2016
A Two-Sample Test for Equality of Means in High Dimension.. 110:837-849. 2015
Functional and Structural Methods with Mixed Measurement Error and Misclassification in Covariates.. 110:681-696. 2015
Bayesian factorizations of big sparse tensors.. 110:1562-1576. 2015
Dirichlet-Laplace priors for optimal shrinkage.. 110:1479-1490. 2015
Joint Bayesian Modeling of Binomial and Rank Data for Primate Cognition. 110:573-582. 2015
Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms. 110:56-67. 2015
Biomarker Detection in Association Studies: Modeling SNPs Simultaneously via Logistic ANOVA. 109:1355-1367. 2014
Bayesian Multiscale Modeling of Closed Curves in Point Clouds.. 109:1481-1494. 2014
Selecting the Number of Principal Components in Functional Data.. 108:1284-1294. 2013
Parameter Estimation of Partial Differential Equation Models.. 108:1009-1020. 2013
A Study of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Models for Nonstationary Acoustic Time Series.. 108:514-526. 2013
A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data. 108:325-339. 2013
Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter. 108:111-123. 2013
Spline-Based Emulators for Radiative Shock Experiments With Measurement Error. 108:411-428. 2013
Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection. 107:1533-1545. 2012
Deconvolution When Classifying Noisy Data Involving Transformations.. 107:1166-1177. 2012
Bayesian Model Selection in High-Dimensional Settings.. 107:649-660. 2012
Simplex Factor Models for Multivariate Unordered Categorical Data.. 107:362-377. 2012
Density Estimation in Several Populations With Uncertain Population Membership.. 106:1180-1192. 2011
Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error.. 106:191-202. 2011
Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection.. 105:956-967. 2010
Correction. 105:882-882. 2010
Generalized Functional Linear Models with Semiparametric Single-Index Interactions.. 105:621-633. 2010
Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data.. 105:390-400. 2010
Indirect Cross-Validation for Density Estimation. 105:415-423. 2010
Testing for Change Points in Time Series. 105:1228-1240. 2010
Nonparametric Prediction in Measurement Error Models Comment - Rejoinder. 104:1013-1014. 2009
Nonparametric Prediction in Measurement Error Models.. 104:993-1014. 2009
Quantile Regression With Measurement Error.. 104:1129-1143. 2009
A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem.. 104:348-359. 2009
Shrinkage Estimators for Robust and Efficient Inference in Haplotype-Based Case-Control Studies.. 104:220-233. 2009
Log-Linear Models for Gene Association.. 104:597-607. 2009
Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements.. 103:1556-1569. 2008
Semiparametric Analysis of Heterogeneous Data Using Varying-Scale Generalized Linear Models.. 103:650-660. 2008
Prediction of Protein Interdomain Linker Regions by a Nonstationary Hidden Markov Model. 103:1085-1099. 2008
Longitudinal Studies With Outcome-Dependent Follow-up: Models and Bayesian Regression.. 102:952-967. 2007
Efficient estimation of population-level summaries in general semiparametric regression models. 102:123-139. 2007
Stochastic approximation in Monte Carlo computation. 102:305-320. 2007
Bayesian curve classification using wavelets. 102:962-973. 2007
Locally efficient estimators for semiparametric models with measurement error. 101:1465-1474. 2006
Comment. 101:104-106. 2006
Likelihood-based inference on haplotype effects in genetic association studies - Comment. 101:108-111. 2006
Analyzing nonstationary spatial data using piecewise Gaussian processes. 100:653-668. 2005
Semiparametric Bayesian analysis of matched case-control studies with missing exposure. 100:591-601. 2005
Efficient semiparametric marginal estimation for longitudinal/clustered data. 100:147-157. 2005
Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes. 100:653-668. 2005
Nonlinear and nonparametric regression and instrumental variables. 99:736-750. 2004
Estimation in partially linear models with missing covariates. 99:357-367. 2004
Cross-Validation and the Estimation of Conditional Probability Densities. 99:1015-1026. 2004
More efficient local polynomial estimation in nonparametric regression with autocorrelated errors. 98:980-992. 2003
Rejoinder. 98:591-597. 2003
Semiparametric estimation of multivariate fractional cointegration. 98:629-642. 2003
Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis. 98:573-583. 2003
Generalized nonlinear modeling with multivariate free-knot regression splines. 98:352-368. 2003
Marginal longitudinal nonparametric regression: Locality and efficiency of spline and kernel methods. 97:482-493. 2002
Bayesian smoothing and regression splines for measurement error problems. 97:160-169. 2002
Bayesian Analysis of Rank Data With Application to Primate Intelligence Experiments. 97:8-17. 2002
Foundations of Time Series Analysis and Prediction Theory. 97:1207-1207. 2002
Multivariate receptor modeling for temporally correlated data by using MCMC. 96:1171-1183. 2001
Parametric and nonparametric methods for understanding the relationship between carcinogen-induced DNA adduct levels in distal and proximal regions of the colon. 96:816-826. 2001
Semiparametric Regression for Clustered Data Using Generalized Estimating Equations. 96:1045-1056. 2001
Regularization of wavelet approximations - Discussion. 96:956-958. 2001
Semiparametric and nonparametric regression analysis of longitudinal data - Comment. 96:114-116. 2001
Comment. 94:410-411. 1999
Regression depth - Comment. 94:410-411. 1999
A Test for Global Maximum. 94:847-854. 1999
Testing the fit of a parametric function. 94:869-879. 1999
One-sided cross-validation. 93:620-631. 1998
Nonlinear Wavelet Shrinkage with Bayes Rules and Bayes Factors. 93:173-179. 1998
A Coupling-Regeneration Scheme for Diagnosing Convergence in Markov Chain Monte Carlo Algorithms. 93:238-248. 1998
Comment. 93:541-544. 1998
Comment. 93:954-957. 1998
Generalized partially linear single-index models. 92:477-489. 1997
Rejoinder. 92:414-415. 1997
Broken Biological Size Relationships: A Truncated Semiparametric Regression Approach with Measurement Error. 92:836-845. 1997
Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models. 91:242-250. 1996
Asymptotics for the SIMEX estimator in nonlinear measurement error models. 91:242-250. 1996
Estimation of the Generalized Prediction Error Variance of a Multiple Time Series. 91:294-299. 1996
On Bayesian Analysis of Multirater Ordinal Data: An Application to Automated Essay Grading. 91:42-51. 1996
Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths. 91:154-166. 1996
PROSPECTIVE ANALYSIS OF LOGISTIC CASE-CONTROL STUDIES. 90:157-169. 1995
Prospective Analysis of Logistic Case-Control Studies. 90:157-169. 1995
Modeling Expert Opinion Arising as a Partial Probabilistic Specification. 90:598-604. 1995
A SEMIPARAMETRIC CORRECTION FOR ATTENUATION. 89:1366-1373. 1994
A Semiparametric Correction for Attenuation. 89:1366-1373. 1994
Introduction to Probability and Statistics.. 89:1567-1567. 1994
ESTIMATION OF LAG IN MISREGISTERED, AVERAGED IMAGES. 89:219-229. 1994
Fitting Heteroscedastic Regression Models. 89:100-116. 1994
A Model for Segmentation and Analysis of Noisy Images. 89:230-241. 1994
BIAS ROBUST ESTIMATION IN FINITE POPULATIONS USING NONPARAMETRIC CALIBRATION. 88:268-277. 1993
Bias Robust Estimation in Finite Populations Using Nonparametric Calibration. 88:268-268. 1993
CASE-CONTROL STUDIES WITH ERRORS IN COVARIATES. 88:185-199. 1993
ON ONE-STEP GM ESTIMATES AND STABILITY OF INFERENCES IN LINEAR-REGRESSION. 87:439-450. 1992
On One-Step GM Estimates and Stability of Inferences in Linear Regression. 87:439-450. 1992
A Technique for Estimating Marginal Posterior Densities in Hierarchical Models Using Mixtures of Conditional Densities. 87:852-860. 1992
Bandwidth Choice for Average Derivative Estimation. 87:218-226. 1992
A GEOMETRICAL METHOD FOR REMOVING EDGE EFFECTS FROM KERNEL-TYPE NONPARAMETRIC REGRESSION-ESTIMATORS. 86:665-672. 1991
Editors' Report for 1990. 86:257-257. 1991
BOOTSTRAP TEST FOR DIFFERENCE BETWEEN MEANS IN NONPARAMETRIC REGRESSION. 85:1039-1049. 1990
APPROXIMATE QUASI-LIKELIHOOD ESTIMATION IN MODELS WITH SURROGATE PREDICTORS. 85:652-663. 1990
Approximate Quasi-likelihood Estimation in Models with Surrogate Predictors. 85:652-663. 1990
Editors' Report for 1989. 85:273-273. 1990
CONDITIONALLY UNBIASED BOUNDED-INFLUENCE ESTIMATION IN GENERAL REGRESSION-MODELS, WITH APPLICATIONS TO GENERALIZED LINEAR-MODELS. 84:460-466. 1989
Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models. 84:460-466. 1989
OPTIMAL RATES OF CONVERGENCE FOR DECONVOLVING A DENSITY. 83:1184-1186. 1988
Optimal Rates of Convergence for Deconvolving a Density. 83:1184-1186. 1988
THE EFFECT OF ESTIMATING WEIGHTS IN WEIGHTED LEAST-SQUARES. 83:1045-1054. 1988
The Effect of Estimating Weights in Weighted Least Squares. 83:1045-1054. 1988
Variance Function Estimation. 82:1079-1091. 1987
Comparison of Least Squares and Errors-in-Variables Regression, with Special Reference to Randomized Analysis of Covariance. 80:929-932. 1985
ASYMPTOTIC PROPERTIES OF A FAMILY OF MINIMUM QUANTILE DISTANCE ESTIMATORS. 80:742-747. 1985
Asymptotic Properties of a Family of Minimum Quantile Distance Estimators. 80:742-747. 1985
A NOTE ON N-ESTIMATORS FOR THE BINOMIAL-DISTRIBUTION. 80:423-426. 1985
A Note on N Estimators for the Binomial Distribution. 80:423-426. 1985
Comment. 80:114-116. 1985
COMPARISON OF LEAST-SQUARES AND ERRORS-IN-VARIABLES REGRESSION, WITH SPECIAL REFERENCE TO RANDOMIZED ANALYSIS OF COVARIANCE. 80:929-932. 1985
Comment. 79:312-313. 1984
Power Transformations When Fitting Theoretical Models to Data. 79:321-328. 1984
EFFICIENCY OF A KERNEL DENSITY ESTIMATOR UNDER AN AUTOREGRESSIVE DEPENDENCE MODEL. 79:110-117. 1984
POWER-TRANSFORMATIONS WHEN FITTING THEORETICAL-MODELS TO DATA. 79:321-328. 1984
Comment. 78:78-79. 1983
A Comparison between Maximum Likelihood and Generalized Least Squares in a Heteroscedastic Linear Model. 77:878-882. 1982
Prediction and Power Transformations When the Choice of Power is Restricted to a Finite Set. 77:908-915. 1982
A COMPARISON BETWEEN MAXIMUM-LIKELIHOOD AND GENERALIZED LEAST-SQUARES IN A HETEROSCEDASTIC LINEAR-MODEL. 77:878-882. 1982
Trimmed Least Squares Estimation in the Linear Model. 75:828-838. 1980
TRIMMED LEAST-SQUARES ESTIMATION IN THE LINEAR-MODEL. 75:828-838. 1980
On Estimating Variances of Robust Estimators When the Errors are Asymmetric. 74:674-679. 1979
SOME ANGULAR-LINEAR DISTRIBUTIONS AND RELATED REGRESSION-MODELS. 73:602-606. 1978
Some Angular-Linear Distributions and Related Regression Models. 73:602-606. 1978
Sequential Confidence Intervals for the Mean of a Subpopulation of a Finite Population. 73:408-413. 1978
A Comparison of Two Approaches to Fixed-Width Confidence Interval Estimation. 72:901-907. 1977
Use of Domain Estimators with Unequal Probability in Sample Surveys. 63:984-992. 1968
A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees. ahead-of-print:1-12.
Bayesian CART model search - Comment. 93:954-957.
Computation for the Analysis of Designed Experiments.. 85:1178-1178.
A note on the efficiency of sandwich covariance matrix estimation 2001

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