publication venue for
- A robust and efficient approach to causal inference based on sparse sufficient dimension reduction. 47:1505-1535. 2019
- Bayesian fractional posteriors. 47:39-66. 2019
- Efficient and adaptive linear regression in semi-supervised settings. 46:1541-1572. 2018
- Conditional mean and quantile dependence testing in high dimension. 46:219-246. 2018
- Tensor decompositions and sparse log-linear models. 45:1-38. 2017
- Efficient calibration for imperfect computer models. 43:2331-2352. 2015
- Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates. 43:2102-2131. 2015
- Classification algorithms using adaptive partitioning. 42:2141-2163. 2014
- Posterior contraction in sparse Bayesian factor models for massive covariance matrices. 42:1102-1130. 2014
- Anisotropic function estimation using multi-bandwidth Gaussian processes. 42:352-381. 2014
- Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier. 41:2739-2767. 2013
- Uniformly most powerful Bayesian tests. 41:1716-1741. 2013
- Fixed-smoothing asymptotics for time series. 41:1329-1349. 2013
- Asymptotic optimality and efficient computation of the leave-subject-out cross-validation. 40:3003-3030. 2012
- Estimation and variable selection for generalized additive partial linear models. 39:1827-1851. 2011
- Bootstrap consistency for general semiparametric M-estimation. 38:2884-2915. 2010
- Approximation and learning by greedy algorithms. 36:64-94. 2008
- Normalized least-squares estimation in time-varying ARCH models. 36:742-786. 2008
- Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments. 35:1608-1643. 2007
- Discussion. 34:2098-2104. 2006
- Statistical inference for time-varying ARCH processes. 34:1075-1114. 2006
- Efficient estimation of a semiparametric partially linear varying coefficient model. 33:258-283. 2005
- A Bayesian χ2 test for goodness-of-fit. 32:2361-2384. 2004
- Bayesian-motivated tests of function fit and their asymptotic frequentist properties. 32:2580-2615. 2004
- Local asymptotics for polynomial spline regression. 31:1600-1635. 2003
- Functional ANOVA modeling for proportional hazards regression. 28:961-999. 2000
- Adaptive wavelet estimator for nonparametric density deconvolution. 27:2033-2053. 1999
- Estimation in a semiparametric partially linear errors-in-variables model. 27:1519-1535. 1999
- Local linear regression for generalized linear models with missing data. 26:1028-1050. 1998
- Projection estimation in multiple regression with application to functional ANOVA models. 26:242-272. 1998
- Testing for additivity in nonparametric regression. 23:1896-1920. 1995
- Dimension Reduction in a Semiparametric Regression Model with Errors in Covariates. 23:161-181. 1995
- Bias Reduction in Kernel Density Estimation by Smoothed Empirical Transformations. 22:185-210. 1994
- Testing Goodness-of-Fit in Regression Via Order Selection Criteria. 20:1412-1425. 1992
- An Asymptotic Theory for Sliced Inverse Regression. 20:1040-1061. 1992
- Deconvolution-Based Score Tests in Measurement Error Models. 19:249-259. 1991
- Data-Driven Bandwidth Choice for Density Estimation Based on Dependent Data. 18:873-890. 1990
- Nonparametric Estimation of Optimal Performance Criteria in Quality Engineering. 18:281-302. 1990
- Admissibile Kernel Estimators of a Multivariate Density. 16:1421-1427. 1988
- An ARMA Type Probability Density Estimator. 16:842-855. 1988
- Covariate Measurement Error in Logistic Regression. 13:1335-1351. 1985
- Adapting for Heteroscedasticity in Linear Models. 10:1224-1233. 1982
- On Almost Sure Expansions for $M$-Estimates. 6:314-318. 1978