Z. Tan

发表

Two-Stage Importance Sampling With Mixture Proposals

Wentao Li, Z. Tan, Rong Chen, 2013 .

Theory of binless multi-state free energy estimation with applications to protein-ligand binding.

Z. Tan, R. Levy, E. Gallicchio, 2012, The Journal of chemical physics.

Efficient Sequential Monte Carlo With Multiple Proposals and Control Variates

Wentao Li, Z. Tan, Rong Chen, 2016 .

Bounded, efficient and doubly robust estimation with inverse weighting

Zhiqiang Tan, Z. Tan, 2010 .

Nonparametric likelihood and doubly robust estimating equations for marginal and nested structural models

Zhiqiang Tan, Z. Tan, 2010 .

Monte Carlo integration with Markov chain

Zhiqiang Tan, Z. Tan, 2008 .

Monte Carlo Integration With Acceptance-Rejection

Zhiqiang Tan, Z. Tan, 2006 .

A Distributional Approach for Causal Inference Using Propensity Scores

Zhiqiang Tan, Z. Tan, 2006 .

On a Likelihood Approach for Monte Carlo Integration

Zhiqiang Tan, Z. Tan, 2004 .

Efficient nonparametric estimation of causal effects in randomized trials with noncompliance

Dylan S. Small, Z. Tan, D. Small, 2009 .

Causal inference in outcome‐dependent two‐phase sampling designs

Z. Tan, E. Mackenzie, D. Scharfstein, 2009 .

Directed acyclic graphs with edge-specific bounds.

Z. Tan, T. VanderWeele, 2012, Biometrika.

Marginal and Nested Structural Models Using Instrumental Variables

Zhiqiang Tan, Z. Tan, 2010 .

Steinized empirical bayes estimation for heteroscedastic data

Zhiqiang Tan, Z. Tan, 2016 .

Improved minimax estimation of a multivariate normal mean under heteroscedasticity

Z. Tan, 2015, 1505.07607.

Ligand Binding Thermodynamic Cycles: Hysteresis, the Locally Weighted Histogram Analysis Method, and the Overlapping States Matrix

Bin W. Zhang, Z. Tan, R. Levy, 2019, Journal of Chemical Theory and Computation.

Doubly penalized estimation in additive regression with high-dimensional data

Cun-Hui Zhang, Z. Tan, 2019, The Annals of Statistics.

High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables

Z. Tan, Baoluo Sun, 2020, 2009.09286.

Instrumental Variable Estimation with a Stochastic Monotonicity Assumption

Dylan S. Small, Roland R. Ramsahai, Z. Tan, 2017 .

Analysis of odds, probability, and hazard ratios: From 2 by 2 tables to two-sample survival data

Z. Tan, 2019, Journal of Statistical Planning and Inference.

Consistent and robust inference in hazard probability and odds models with discrete-time survival data.

Z. Tan, 2020, 2012.03451.

Ligand Binding Thermodynamic Cycles: Hysteresis, LWHAM, and the Overlapping States Matrix.

Bin W. Zhang, Z. Tan, R. Levy, 2019, Journal of Chemical Theory and Computation.

Discussion on "Instrumented difference-in-differences" by Ye, Ertefaie, Flory, Hennessy, Small.

Z. Tan, 2022, Biometrics.

Large‐Scale Asynchronous and Distributed Multidimensional Replica Exchange Molecular Simulations and Efficiency Analysis

Bin W. Zhang, Z. Tan, R. Levy, 2016, Journal of computational chemistry.

DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION

James M. Robins, Zhiqiang Tan, Dylan S. Small, 2012 .

Doubly robust semiparametric inference using regularized calibrated estimation with high-dimensional data

Zhiqiang Tan, Satyajit Ghosh, Z. Tan, 2020, Bernoulli.

Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data

Zhiqiang Tan, Z. Tan, 2017, Biometrika.

On Loss Functions and Regret Bounds for Multi-Category Classification

Z. Tan, Xinwei Zhang, 2020, IEEE Transactions on Information Theory.

POSITIVE FALSE DISCOVERY PROPORTIONS: INTRINSIC BOUNDS AND ADAPTIVE CONTROL

Z. Tan, Zhiyi Chi, 2005 .

Semi‐supervised logistic learning based on exponential tilt mixture models pdf

Zhiqiang Tan, Xinwei Zhang, Z. Tan, 2019, Stat.

Deep Sequencing of Protease Inhibitor Resistant HIV Patient Isolates Reveals Patterns of Correlated Mutations in Gag and Protease

Zhiqiang Tan, Ronald M. Levy, Jinyun Yuan, 2015, PLoS Comput. Biol..

An Exponential Tilt Mixture Model for Time-to-Event Data to Evaluate Treatment Effect Heterogeneity in Randomized Clinical Trials.

Chi Wang, Zhiqiang Tan, Thomas A Louis, 2014, Biometrics & biostatistics international journal.

Improved Estimation of Average Treatment Effects on the Treated: Local Efficiency, Double Robustness, and Beyond

Zhiqiang Tan, Z. Tan, Heng Shu, 2018, 1808.01408.

Second-order asymptotic theory for calibration estimators in sampling and missing-data problems

Zhiqiang Tan, Z. Tan, 2014, J. Multivar. Anal..

Comment: Understanding OR, PS and DR

Zhiqiang Tan, Z. Tan, 2007, 0804.2969.

Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data

Zhiqiang Tan, Z. Tan, 2018, The Annals of Statistics.

Penalized Estimation in Additive Regression with High-Dimensional Data

Cun-Hui Zhang, Z. Tan, 2017, 1704.07229.

Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression

Zhiqiang Tan, Ting Yang, Z. Tan, 2019, J. Comput. Graph. Stat..

Calibrated path sampling and stepwise bridge sampling

Z. Tan, 2013 .

Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data

Zhiqiang Tan, Xiao-Hua Zhou, Peng Wu, 2021, Statistica Sinica.

Simulating Replica Exchange: Markov State Models, Proposal Schemes, and the Infinite Swapping Limit.

Zhiqiang Tan, Peng He, Emilio Gallicchio, 2016, The journal of physical chemistry. B.

Improved methods for moment restriction models with data combination and an application to two‐sample instrumental variable estimation

Z. Tan, Heng Shu, 2019, Canadian Journal of Statistics.

Improved Methods for Moment Restriction Models with Marginally Incompatible Data Combination and an Application to Two-sample Instrumental Variable Estimation

Z. Tan, Heng Shu, 2018, 1808.03786.

Instrumental Variable Estimation When Compliance is not Deterministic: The Stochastic Monotonicity Assumption

Dylan S. Small, Z. Tan, S. Lorch, 2014, 1407.7308.

Regression and Weighting Methods for Causal Inference Using Instrumental Variables

Zhiqiang Tan, Z. Tan, 2006 .

A Stochastic Solution to the Unbinned WHAM Equations.

Zhiqiang Tan, Bin W Zhang, Junchao Xia, 2015, The journal of physical chemistry letters.

Exploring New Statistical Methods for Causal Inference in Longitudinal Studies

Z. Tan, S. Crystal, T. Gerhard, 2013 .

Correlation of intergenerational family sizes suggests a genetic component of reproductive fitness.

Z. Tan, M. McPeek, C. Ober, 2007, American journal of human genetics.

Hamiltonian-Assisted Metropolis Sampling

Zhiqiang Tan, Zexi Song, Z. Tan, 2020, Journal of the American Statistical Association.

Large‐scale asynchronous and distributed multidimensional replica exchange molecular simulations and efficiency analysis

Peng He, Zhiqiang Tan, Ronald M. Levy, 2015, J. Comput. Chem..

Demystifying double Rogbustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. Comment.

Z. Tan, 2007 .

Efficient and Robust Causal Inference: A Distributional Approach

Z. Tan, 2004 .

A note on profile likelihood for exponential tilt mixture models

Z. Tan, 2009 .

A note on profile likelihood for exponential tilt mixture models

Z. Tan, Z. TAN, 2009 .

Imputation Maximization Stochastic Approximation with Application to Generalized Linear Mixed Models

Zhiqiang Tan, Zexi Song, Z. Tan, 2022, 2201.10096.

Optimally Adjusted Mixture Sampling and Locally Weighted Histogram Analysis

Z. Tan, 2017 .

Locally weighted histogram analysis and stochastic solution for large-scale multi-state free energy estimation.

Bin W. Zhang, Z. Tan, R. Levy, 2016, The Journal of chemical physics.

Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation

Z. Tan, 2022, 2209.11383.

Block-wise Primal-dual Algorithms for Large-scale Doubly Penalized ANOVA Modeling

Z. Tan, Penghui Fu, 2022, Computational Statistics & Data Analysis.

Causal Inference in Observational Studies with Outcome-Dependent Sampling

Z. Tan, E. Mackenzie, D. Scharfstein, 2008 .

Persistently trained, diffusion‐assisted energy‐based models

Z. Tan, Zhijian Ou, Xinwei Zhang, 2023, Stat.

On Irreversible Metropolis Sampling Related to Langevin Dynamics pdf

Zhiqiang Tan, Zexi Song, Z. Tan, 2021, SIAM J. Sci. Comput..

Estimation of Causal Effects Using Instrumental Variables

Z. Tan, 2005 .

A Stochastic Monotonicity Assumption for the Instrumental Variables Method

Zhiqiang Tan, Dylan S. Small, Z. Tan, 2022 .

Exponential tilt models for two-group comparison with censored data

T. Louis, Z. Tan, Chi Wang, 2011 .

Generalized pseudo empirical likelihood inferences for complex surveys

Z. Tan, Changbao Wu, 2015 .

‘Simple design-efficient calibration estimators for rejective and high-entropy sampling’

Zhiqiang Tan, Z. Tan, 2013 .