wing hung wong

37 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-7466-2339

Stanford University

Publications

• Collaborative Multilabel Classification — Journal of the American Statistical Association 2023
• Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal — Journal of the American Statistical Association 2022
• Coupled Generation — Journal of the American Statistical Association 2022
• Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR Control — Journal of the American Statistical Association 2020
• Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach — The Annals of Applied Statistics 2013 (name-matched, not ORCID-linked)
• Multivariate Density Estimation by Bayesian Sequential Partitioning — Journal of the American Statistical Association 2013
• Coupling Optional Pólya Trees and the Two Sample Problem — Journal of the American Statistical Association 2011
• Learning Causal Bayesian Network Structures From Experimental Data — Journal of the American Statistical Association 2008
• Reconstructing the energy landscape of a distribution from Monte Carlo samples — The Annals of Applied Statistics 2008
• Coupling hidden Markov models for the discovery of Cis-regulatory modules in multiple species — The Annals of Applied Statistics 2007
• Equi-energy sampler with applications in statistical inference and statistical mechanics — The Annals of Statistics 2006
• Rejoinder — The Annals of Statistics 2006
• On ψ-Learning — Journal of the American Statistical Association 2003
• A Theory for Dynamic Weighting in Monte Carlo Computation — Journal of the American Statistical Association 2001
• Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models — Journal of the American Statistical Association 2001
• The Multiple-Try Method and Local Optimization in Metropolis Sampling — Journal of the American Statistical Association 2000
• Computational Molecular Biology — Journal of the American Statistical Association 2000
• Random Sieve Likelihood and General Regression Models — Journal of the American Statistical Association 1999
• Rejection Control and Sequential Importance Sampling — Journal of the American Statistical Association 1998
• The properties of the cross-match estimate and split sampling — The Annals of Statistics 1997
• Covariance Structure and Convergence Rate of the Gibbs Sampler with Various Scans — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1995
• Probability Inequalities for Likelihood Ratios and Convergence Rates of Sieve MLES — The Annals of Statistics 1995
• Sequential Imputations and Bayesian Missing Data Problems — Journal of the American Statistical Association 1994
• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes — Biometrika 1994
• Convergence Rate of Sieve Estimates — The Annals of Statistics 1994
• Profile Likelihood and Conditionally Parametric Models — The Annals of Statistics 1992
• Laplace expansion for posterior densities of nonlinear functions of parameters — Biometrika 1992
• On Maximum Likelihood Estimation in Infinite Dimensional Parameter Spaces — The Annals of Statistics 1991
• Rejoinder — Journal of the American Statistical Association 1987
• The Calculation of Posterior Distributions by Data Augmentation — Journal of the American Statistical Association 1987
• Theory of Partial Likelihood — The Annals of Statistics 1986
• Data-Based Nonparametric Estimation of the Hazard Function with Applications to Model Diagnostics and Exploratory Analysis — Journal of the American Statistical Association 1984
• A Note on the Modified Likelihood for Density Estimation — Journal of the American Statistical Association 1983
• The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method — The Annals of Statistics 1983
• On the Consistency of Cross-Validation in Kernel Nonparametric Regression — The Annals of Statistics 1983
• Comment — Journal of the American Statistical Association 1983
• An AI-powered Bayesian generative modeling approach for causal inference in observational studies — Journal of the American Statistical Association