Wing Hung Wong

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	An AI-powered Bayesian generative modeling approach for causal inference in observational studies	2025	Qiao Liu Wing Hung Wong
+ PDF Chat	An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies	2024	Qiao Liu Z. Chen Wing Hung Wong
+ PDF Chat	Generative Modeling for Tabular Data via Penalized Optimal Transport Network	2024	Wenhui Sophia Lu Chenyang Zhong Wing Hung Wong
+	CausalEGM: a general causal inference framework by encoding generative modeling	2022	Qiao Liu Chen Zhong-ren Wing Hung Wong
+	An integral equation for the identification of causal effects in nonlinear models	2021	Wing Hung Wong
+ PDF Chat	Density estimation using deep generative neural networks	2021	Qiao Liu Jiaze Xu Rui Jiang Wing Hung Wong
+	A calculus for causal inference with instrumental variables	2021	Wing Hung Wong
+	An integral equation for the identification of causal effects in nonlinear models	2021	Wing Hung Wong
+ PDF Chat	Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal	2020	Tung-Yu Wu Y. X. Rachel Wang Wing Hung Wong
+	Detecting Strong Signals in Gene Perturbation Experiments: An Adaptive Approach With Power Guarantee and FDR Control	2019	Leying Guan Xi Chen Wing Hung Wong
+	Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal	2019	Tung-Yu Wu Y. X. Rachel Wang Wing Hung Wong
+	Convergence of contrastive divergence algorithm in exponential family	2018	Bai Jiang Tung-Yu Wu Yifan Jin Wing Hung Wong
+	Minibatch Gibbs Sampling on Large Graphical Models	2018	Christopher De Vincent Chen Wing Hung Wong
+	Detecting strong signals in gene perturbation experiments: An adaptive approach with power guarantee and FDR control	2018	Leying Guan Xi Chen Wing Hung Wong
+	Minibatch Gibbs Sampling on Large Graphical Models	2018	Christopher De Vincent Chen Wing Hung Wong
+	Convergence rates of a partition based Bayesian multivariate density estimation method.	2017	Linxi Liu Dangna Li Wing Hung Wong
+ PDF Chat	Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network	2017	Wing Hung Wong Bai Jiang Tung-Yu Wu Charles Zheng
+	Mini-batch Tempered MCMC	2017	Dangna Li Wing Hung Wong
+	Convergence of Contrastive Divergence Algorithm in Exponential Family	2016	Bai Jiang Tung-Yu Wu Yifan Jin Wing Hung Wong
+	Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family	2016	Bai Jiang Tung-Yu Wu Wing Hung Wong
+	AND CONVERGENCE RATES OF SIEVE MLES	2016	Wing Hung Wong Xiaotong Shen
+ PDF Chat	Computational Aspects of Optional Pólya Tree	2015	Hui Jiang John C. Mu Kun Yang Chao Du Luo Lu Wing Hung Wong
+	Multivariate Density Estimation via Adaptive Partitioning (II): Posterior Concentration	2015	Linxi Liu Wing Hung Wong
+	co-BPM: a Bayesian Model for Estimating Divergence and Distance of Distributions	2014	Kun Yang Hao Su Wing Hung Wong
+	Density Estimation via Adaptive Partition and Discrepancy Control	2014	Kun Yang Wing Hung Wong
+	Density Estimation via Discrepancy Based Adaptive Sequential Partition	2014	Dangna Li Kun Yang Wing Hung Wong
+	Discovering and Visualizing Hierarchy in the Data	2014	Kun Yang Wing Hung Wong
+	MULTIVARIATE DENSITY ESTIMATION BASED ON ADAPTIVE PARTITIONING: CONVERGENCE RATE, VARIABLE SELECTION AND SPATIAL ADAPTATION	2014	Linxi Liu Wing Hung Wong
+	Multivariate Density Estimation via Adaptive Partitioning (I): Sieve MLE	2014	Linxi Liu Wing Hung Wong
+	Discovering and Visualizing Hierarchy in Multivariate Data	2014	Kun Yang Wing Hung Wong
+	co-BPM: a Bayesian Model for Divergence Estimation	2014	Kun Yang Hao Su Wing Hung Wong
+	Density Estimation via Discrepancy Based Adaptive Sequential Partition	2014	Dangna Li Kun Yang Wing Hung Wong
+	Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach	2013	Arwen Meister Ye Henry Li Bokyung Choi Wing Hung Wong
+ PDF Chat	Density estimation on multivariate censored data with optional Polya tree	2013	Junhee Seok Lü Tian Wing Hung Wong
+	Multivariate Density Estimation by Bayesian Sequential Partitioning	2013	Luo Lu Hui Jiang Wing Hung Wong
+	Computational Aspects of Optional Pólya Tree	2013	Hui Jiang John C. Mu Kun Yang Chao Du Luo Lu Wing Hung Wong
+	Learning a nonlinear gene regulation model from perturbed steady-state data	2012	Arwen Meister Ye Li Bokyung Choi Wing Hung Wong
+ PDF Chat	Coupling Optional Pólya Trees and the Two Sample Problem	2011	Li Ma Wing Hung Wong
+ PDF Chat	Statistical Modeling of RNA-Seq Data	2011	Julia Salzman Hui Jiang Wing Hung Wong
+ PDF Chat	From EM to Data Augmentation: The Emergence of MCMC Bayesian Computation in the 1980s	2010	Martin A. Tanner Wing Hung Wong
+ PDF Chat	Optional Pólya tree and Bayesian inference	2010	Wing Hung Wong Li Ma
+	Coupling optional Pólya trees and the two sample problem	2010	Li Ma Wing Hung Wong
+ PDF Chat	Reconstructing the energy landscape of a distribution from Monte Carlo samples	2008	Qing Zhou Wing Hung Wong
+	Reconstructing the Energy Landscape of a Distribution from Monte Carlo Samples	2008	Qing Zhou Wing Hung Wong
+ PDF Chat	Coupling hidden Markov models for the discovery of Cis-regulatory modules in multiple species	2007	Qing Zhou Wing Hung Wong
+ PDF Chat	Equi-energy sampler with applications in statistical inference and statistical mechanics	2006	S. C. Kou Qing Zhou Wing Hung Wong
+ PDF Chat	Rejoinder	2006	S. C. Kou Qing Zhou Wing Hung Wong
+	Estimation of the Loss of an Estimate	2006	Wing Hung Wong
+	Computational developments of <i>ψ</i>-learning	2005	Sijin Liu Xiaotong Shen Wing Hung Wong
+	Automatic Bayesian model averaging for linear regression and applications in Bayesian curve fitting	2001	Faming Liang Young K. Truong Wing Hung Wong
+	Statistics in the Life and Medical Sciences	2001	Norman E. Breslow David Oakes Sander Greenland Peter Guttorp Kenneth H. Pollock Daniel Gianola Clarice R. Weinberg David B. Dunson Louise Ryan Margaret S. Pepe
+	A Theory for Dynamic Weighting in Monte Carlo Computation	2001	Jun S. Liu Faming Liang Wing Hung Wong
+	The Multiple-Try Method and Local Optimization in Metropolis Sampling	2000	Jun S. Liu Faming Liang Wing Hung Wong
+	The Multiple-Try Method and Local Optimization in Metropolis Sampling	2000	Jun S. Liu Faming Liang Wing Hung Wong
+	Random Sieve Likelihood and General Regression Models	1999	Xiaotong Shen Jian Shi Wing Hung Wong
+	Random Sieve Likelihood and General Regression Models	1999	Xiaotong Shen Jian Shi Wing Hung Wong
+	Dynamic weighting in simulations of spin systems	1999	Faming Liang Wing Hung Wong
+	Rejection Control and Sequential Importance Sampling	1998	Jun S. Liu Rong Chen Wing Hung Wong
+	Rejection Control and Sequential Importance Sampling	1998	Jun S. Liu Rong Chen Wing Hung Wong
+ PDF Chat	Dynamic weighting in Monte Carlo and optimization	1997	Wing Hung Wong Faming Liang
+ PDF Chat	The properties of the cross-match estimate and split sampling	1997	Augustine Kong Jun S. Liu Wing Hung Wong
+	Weighted markov chain monte carlo and optimization	1997	Faming Liang Wing Hung Wong
+ PDF Chat	Bayesian Analysis in Applications of Hierarchical Models: Issues and Methods	1996	Michael Seltzer Wing Hung Wong Anthony S. Bryk
+	SIMULATING RATIOS OF NORMALIZING CONSTANTS VIA A SIMPLE IDENTITY: A THEORETICAL EXPLORATION	1996	Xiao‐Li Meng Wing Hung Wong
+ PDF Chat	Probability Inequalities for Likelihood Ratios and Convergence Rates of Sieve MLES	1995	Wing Hung Wong Xiaotong Shen
+	Covariance Structure and Convergence Rate of the Gibbs Sampler with Various Scans	1995	Jun S. Liu Wing Hung Wong Augustine Kong
+ PDF Chat	Convergence Rate of Sieve Estimates	1994	Xiaotong Shen Wing Hung Wong
+	Sequential Imputations and Bayesian Missing Data Problems	1994	Augustine Kong Jun S. Liu Wing Hung Wong
+	Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes	1994	Jun S. Liu Wing Hung Wong Augustine Kong
+	Covariance Structure of the Gibbs Sampler with Applications to the Comparisons of Estimators and Augmentation Schemes	1994	Jun S. Liu Wing Hung Wong Augustine Kong
+	Sequential Imputations and Bayesian Missing Data Problems	1994	Augustine Kong Jun S. Liu Wing Hung Wong
+	STOCHASTIC RECONSTRUCTION OF INCOMPLETE DATA SETS USING GIBBS PRIORS IN POSITRON EMISSION TOMOGRAPHY	1993	Chin-Tu Chen Oscar H. Kapp Wing Hung Wong
+ PDF Chat	Profile Likelihood and Conditionally Parametric Models	1992	Thomas A. Severini Wing Hung Wong
+	<title>Stochastic reconstruction of incomplete data sets using Gibbs priors in positron emission tomography</title>	1992	Chin-Tu Chen Oscar H. Kapp Wing Hung Wong
+	<title>Improvement of medical images using Bayesian processing</title>	1992	Chin-Tu Chen Xiaolong Ouyang Wing Hung Wong Xiaoping Hu
+	Laplace expansion for posterior densities of nonlinear functions of parameters	1992	Wing Hung Wong Bing Li
+ PDF Chat	On Maximum Likelihood Estimation in Infinite Dimensional Parameter Spaces	1991	Wing Hung Wong Thomas A. Severini
+	Image restoration using Gibbs priors: boundary modeling, treatment of blurring, and selection of hyperparameter	1991	Valen E. Johnson Wing Hung Wong Xiaoping Hu C.-T. Chen
+	Bayesian image processing in magnetic resonance imaging	1991	Xiaoping Hu Valen E. Johnson Wing Hung Wong Chin-Tu Chen
+	<title>Image processing and image reconstruction with the use of a-priori information</title>	1990	Chin-Tu Chen Valen E. Johnson Xiaoping Hu Wing Hung Wong Charles E. Metz
+	Nonparametric hazard estimation with time-varying discrete covariates	1990	Siu Fai Leung Wing Hung Wong
+	Nonparametric Hazard Estimation With Time Varying Discrete Covariates	1989	Siu‐Fung Leung Wing Hung Wong
+	Statistical Methods for Image Restoration and Image Reconstruction	1989	Chin-Tu Chen Valen E. Johnson Wing Hung Wong Xiaoping Hub Charles E. Metz
+	The Calculation of Posterior Distributions by Data Augmentation	1987	Martin A. Tanner Wing Hung Wong
+	The Calculation of Posterior Distributions by Data Augmentation: Rejoinder	1987	Martin A. Tanner Wing Hung Wong
+	Rejoinder	1987	Martin A. Tanner Wing Hung Wong
+	The Calculation of Posterior Distributions by Data Augmentation	1987	Martin A. Tanner Wing Hung Wong
+	An Application of Imputation to an Estimation Problem in Grouped Lifetime Analysis	1987	Martin A. Tanner Wing Hung Wong
+	An Application of Imputation to an Estimation Problem in Grouped Lifetime Analysis	1987	Martin A. Tanner Wing Hung Wong
+ PDF Chat	Theory of Partial Likelihood	1986	Wing Hung Wong
+	Data-Based Nonparametric Estimation of the Hazard Function with Applications to Model Diagnostics and Exploratory Analysis	1984	Martin A. Tanner Wing Hung Wong
+ PDF Chat	On the Consistency of Cross-Validation in Kernel Nonparametric Regression	1983	Wing Hung Wong
+ PDF Chat	The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method	1983	Martin A. Tanner Wing Hung Wong
+	A Reanalysis of the Standford Heart Transplant Data: Comment	1983	Martin A. Tanner Wing Hung Wong
+	A Note on the Modified Likelihood for Density Estimation	1983	Wing Hung Wong
+	A Note on the Modified Likelihood for Density Estimation	1983	Wing Hung Wong

Common Coauthors

Coauthor	Papers Together
Jun S. Liu	11
Martin A. Tanner	10
Faming Liang	7
Augustine Kong	6
Xiaotong Shen	6
Tung-Yu Wu	6
Chin-Tu Chen	6
Valen E. Johnson	4
Hui Jiang	4
Bai Jiang	4
Linxi Liu	4
Qiao Liu	4
Xiaoping Hu	4
Kun Yang	4
Luo Lu	3
Li Ma	3
Qing Zhou	3
Kun Yang	3
S. C. Kou	2
Chao Du	2
Leying Guan	2
John C. Mu	2
Dangna Li	2
Dangna Li	2
Arwen Meister	2
Christopher De	2
Yifan Jin	2
Vincent Chen	2
Y. X. Rachel Wang	2
Hao Su	2
Oscar H. Kapp	2
Thomas A. Severini	2
Rong Chen	2
Kun Yang	2
Qing Zhou	2
Bokyung Choi	2
Charles E. Metz	2
Jian Shi	2
David Oakes	1
Margaret S. Pepe	1
Louise Ryan	1
Sijin Liu	1
Xiao‐Li Meng	1
Daniel Gianola	1
Young K. Truong	1
Anthony S. Bryk	1
Xi Chen	1
Xi Chen	1
Ye Henry Li	1
Kenneth H. Pollock	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	14
+ PDF Chat	Optional Pólya tree and Bayesian inference	2010	Wing Hung Wong Li Ma	11
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	11
+	The Calculation of Posterior Distributions by Data Augmentation	1987	Martin A. Tanner Wing Hung Wong	10
+	Sampling-Based Approaches to Calculating Marginal Densities	1990	Alan E. Gelfand A. F. M. Smith	9
+ PDF Chat	Prior Distributions on Spaces of Probability Measures	1974	Thomas S. Ferguson	6
+ PDF Chat	Remarks on Some Nonparametric Estimates of a Density Function	1956	Murray Rosenblatt	6
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	6
+	Multivariate Density Estimation by Bayesian Sequential Partitioning	2013	Luo Lu Hui Jiang Wing Hung Wong	6
+	On optimal and data-based histograms	1979	David W. Scott	6
+ PDF Chat	Convergence Rate of Sieve Estimates	1994	Xiaotong Shen Wing Hung Wong	6
+	Markov Chain Monte Carlo Maximum Likelihood	1991	Charles J. Geyer	5
+ PDF Chat	Simulated Tempering: A New Monte Carlo Scheme	1992	Enzo Marinari Giorgio Parisi	5
+	Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes	1994	Jun S. Liu Wing Hung Wong Augustine Kong	5
+	Sequential Imputations and Bayesian Missing Data Problems	1994	Augustine Kong Jun S. Liu Wing Hung Wong	5
+	Bayesian Inference in Statistical Analysis.	1975	Joseph B. Kadane George E. P. Box George C. Tiao	4
+ PDF Chat	Probability Inequalities for Likelihood Ratios and Convergence Rates of Sieve MLES	1995	Wing Hung Wong Xiaotong Shen	4
+ PDF Chat	Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference	1995	Charles J. Geyer E. A. Thompson	4
+	Testing multivariate uniformity and its applications	2000	Jiajuan Liang Kai‐Tai Fang Fred J. Hickernell Runze Li	4
+	A Brief Survey of Bandwidth Selection for Density Estimation	1996	M. C. Jones J. S. Marron Simon J. Sheather	4
+	Multicanonical algorithms for first order phase transitions	1991	Bernd A. Berg Thomas Neuhaus	4
+ PDF Chat	A Bayesian Analysis of Some Nonparametric Problems	1973	Thomas S. Ferguson	4
+	Bayesian Inference in Statistical Analysis	1974	D. V. Gokhale George E. P. Box George C. Tiao	3
+	Image compression through wavelet transform coding	1992	Ronald DeVore Björn Jawerth Bradley J. Lucier	3
+ PDF Chat	Coupling Optional Pólya Trees and the Two Sample Problem	2011	Li Ma Wing Hung Wong	3
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	3
+ PDF Chat	Convergence of Estimates Under Dimensionality Restrictions	1973	Lucien LeCam	3
+	A Numerical Procedure to Generate a Sample Covariance Matrix	1966	Patrick L. Odell Alan H. Feiveson	3
+	An Efficient Minibatch Acceptance Test for Metropolis-Hastings	2016	Daniel Seita Xinlei Pan Haoyu Chen John Canny	3
+ PDF Chat	Approximation dans les espaces m�triques et th�orie de l'estimation	1983	Lucien Birg�	3
+ PDF Chat	Calculation of Discrepancy Measures and Applications	2014	Carola Doerr Michael Gnewuch Magnus Wahlström	3
+ PDF Chat	CONTRIBUTIONS TO A GENERAL ASYMPTOTIC STATISTICAL THEORY	1985	J. Pfanzagl Wolfgang Wefelmeyer	3
+ PDF Chat	Exchange Monte Carlo Method and Application to Spin Glass Simulations	1996	Koji Hukushima Kae Nemoto	3
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	3
+ PDF Chat	Information and Asymptotic Efficiency in Parametric-Nonparametric Models	1983	Janet M. Begun William J. Hall Weimin Huang Jon A. Wellner	3
+ PDF Chat	Adapting to unknown sparsity by controlling the false discovery rate	2006	Felix Abramovich Yoav Benjamini David L. Donoho Iain M. Johnstone	3
+ PDF Chat	Polya Trees and Random Distributions	1992	R. Daniel Mauldin William D. Sudderth S. C. Williams	3
+ PDF Chat	Optimal Rates of Convergence for Nonparametric Estimators	1980	Charles J. Stone	3
+ PDF Chat	Markov Chains for Exploring Posterior Distributions	1994	Luke Tierney	3
+	The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem	1994	Jun S. Liu	3
+ PDF Chat	On a Class of Bayesian Nonparametric Estimates: I. Density Estimates	1984	Albert Y. Lo	3
+ PDF Chat	A Central Limit Theorem Under Metric Entropy with $L_2$ Bracketing	1987	Mina Ossiander	3
+	Inference for Mixtures of Finite Polya Tree Models	2006	Timothy Hanson	3
+	Linear regression with censored data	1979	Jonathan D. Buckley Ian James	3
+	Accurate Approximations for Posterior Moments and Marginal Densities	1986	Luke Tierney Joseph B. Kadane	3
+	The Convergence of Contrastive Divergences	2004	Alan Yuille	3
+ PDF Chat	On Adaptive Estimation	1982	Peter J. Bickel	3
+	On the Nonconsistency of Maximum Likelihood Nonparametric Density Estimators	1981	Eugene F. Schuster Gavin G. Gregory	3
+ PDF Chat	Probability Inequalities for Empirical Processes and a Law of the Iterated Logarithm	1984	Kenneth S. Alexander	3
+ PDF Chat	On Fisher's Bound for Asymptotic Variances	1964	R. R. Bahadur	3