publication venue for
- Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Replicated Time Series. 32:157-170. 2023
- Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. 30:1111-1123. 2021
- Consensus Monte Carlo for Random Subsets using Shared Anchors.. 29:703-714. 2020
- Compressed and Penalized Linear Regression. 29:309-322. 2020
- Scalable Bayesian Nonparametric Clustering and Classification.. 29:53-65. 2020
- Additive Function-on-Function Regression.. 27:234-244. 2018
- Sparse Regression by Projection and Sparse Discriminant Analysis.. 24:416-438. 2015
- Integrating Data Transformation in Principal Components Analysis. 24:84-103. 2015
- Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Covariance Approximations. 23:802-829. 2014
- Principal Component Analysis of Two-Dimensional Functional Data. 23:779-801. 2014
- Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors.. 23:1101-1125. 2014
- Robust Estimation for Generalized Additive Models. 23:270-289. 2014
- Penalized Nonlinear Least Squares Estimation of Time-Varying Parameters in Ordinary Differential Equations. 21:42-56. 2012
- Nonparametric Estimation of Distributions in Random Effects Models. 20:461-478. 2011
- A nonparametric approach to detect nonlinear correlation in gene expression.. 19:552-568. 2010
- Correction. 17:515-515. 2008
- Spatially adaptive Bayesian penalized splines with heteroscedastic errors. 16:265-288. 2007
- Estimation of Large Covariance Matrices of Longitudinal Data With Basis Function Approximations. 16:189-209. 2007
- Bayesian methods for wavelet series in single-index models. 14:770-794. 2005
- Spatially adaptive Bayesian penalized regression splines (P-splines). 14:378-394. 2005
- Wavelet Bayesian block shrinkage via mixtures of normal-inverse gamma priors. 13:383-398. 2004
- Accounting for model uncertainty in seemingly unrelated regressions. 11:533-551. 2002
- Bayesian Inference with Wavelets: Density Estimation. 7:456-456. 1998
- Bayesian Inference with Wavelets: Density Estimation. 7:456-468. 1998
- Blocked Gibbs sampler for hierarchical Dirichlet processes. 1-31.