publication venue for
- Sparse spatially clustered coefficient model via adaptive regularization.. 177:107581-107581. 2023
- Joint Estimation of Monotone Curves via Functional Principal Component Analysis.. 166:107343-107343. 2022
- Time series graphical lasso and sparse VAR estimation. 176:107557-107557. 2022
- Estimating the mean and variance of a high-dimensional normal distribution using a mixture prior. 138:201-221. 2019
- Nonparametric operator-regularized covariance function estimation for functional data. 131:131-144. 2019
- Variable selection using shrinkage priors. 107:107-119. 2017
- Frequentist nonparametric goodness-of-fit tests via marginal likelihood ratios. 96:120-132. 2016
- A coordinate descent MM algorithm for fast computation of sparse logistic PCA. 62:26-38. 2013
- A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms. 58:71-81. 2013
- Lambda-neighborhood wavelet shrinkage. 57:404-416. 2013
- Semi-supervised wavelet shrinkage. 56:1681-1691. 2012
- 2D wavelet-based spectra with applications. 55:738-751. 2011
- Series of randomized complete block experiments with non-normal data. 54:1840-1857. 2010
- Improving the performance of predictive process modeling for large datasets.. 53:2873-2884. 2009
- The sizes of the three popular asymptotic tests for testing homogeneity of two binomial proportions. 51:710-722. 2006
- Statistical analysis of financial networks. 48:431-443. 2005
- Semiparametric and nonparametric modeling for effect modification in matched studies. 46:631-643. 2004
- Model check by kernel methods under weak moment conditions. 36:403-409. 2001
- Estimating the square root of a density via compactly supported wavelets. 25:399-415. 1997
- A comparative evaluation of the estimators of the three-parameter lognormal distribution by Monte Carlo simulation. 10:71-85. 1990