publication venue for
- Dimension-free mixing for high-dimensional Bayesian variable selection. 84:1751-1784. 2022
- Nonparametric, tuning-free estimation of S-shaped functions. 84:1324-1352. 2022
- Testing mutual independence in high dimension via distance covariance. 80:455-480. 2018
- Sparse graphs using exchangeable random measures.. 79:1295-1366. 2017
- A frequentist approach to computer model calibration. 79:635-648. 2017
- On the coverage bound problem of empirical likelihood methods for time series. 78:395-421. 2016
- Semiparametric Estimation in the Secondary Analysis of Case-Control Studies.. 78:127-151. 2016
- Variance Function Partially Linear Single-Index Models1.. 77:171-194. 2015
- Multiplechangepoint detection for autoregressive conditional heteroscedastic processes. 76:903-924. 2014
- Robust estimation for homoscedastic regression in the secondary analysis of case-control data.. 75:185-206. 2013
- A full scale approximation of covariance functions for large spatial data sets. 74:111-132. 2012
- Local and omnibus goodness-of-fit tests in classical measurement error models.. 73:81-98. 2011
- On the use of Non-Local Prior Densities in Bayesian Hypothesis Tests. 72:143-170. 2010
- Testing in semiparametric models with interaction, with applications to gene-environment interactions.. 71:75-96. 2009
- Variance estimation in the analysis of microarray data.. 71:425-445. 2009
- Bayesian model selection using test statistics.. 71:143-158. 2008
- Gaussian predictive process models for large spatial data sets.. 70:825-848. 2008
- Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors.. 69:859-878. 2007
- Functional clustering by Bayesian wavelet methods. 68:305-332. 2006
- Semiparametric estimation in general repeated measures problems. 68:69-88. 2006
- Wavelet-based functional mixed models.. 68:179-199. 2006
- Bayes factors based on test statistics. 67:689-701. 2005
- Bayesian classification of tumours by using gene expression data. 67:219-234. 2005
- Low order approximations in deconvolution and regression with errors in variables. 66:31-46. 2004
- Power transformations to induce normality and their applications. 66:117-130. 2004