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Automated Redistricting Simulation Using Markov Chain Monte Carlo

Journal of computational and graphical statistics, 2020-10, Vol.29 (4), p.715-728

2020

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Communication-Efficient Accurate Statistical Estimation

Journal of the American Statistical Association, 2023-04, Vol.118 (542), p.1000-1010

2023

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A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models

Journal of computational and graphical statistics, 2019-10, Vol.28 (4), p.861-876

2019

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Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models

Journal of the American Statistical Association, 2021-10, Vol.116 (536), p.2065-2086

Izenman, Alan Julian

2021

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Learning Multiple Quantiles With Neural Networks

Journal of computational and graphical statistics, 2021-10, Vol.30 (4), p.1238-1248

2021

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Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

Journal of computational and graphical statistics, 2017-07, Vol.26 (3), p.547-557

2017

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Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm

Technometrics, 2023-07, Vol.65 (3), p.396-405

2023

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Efficient Bayesian Inference for Generalized Bradley-Terry Models

Journal of computational and graphical statistics, 2012, Vol.21 (1), p.174-196

2012

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Search Algorithms and Loss Functions for Bayesian Clustering

Journal of computational and graphical statistics, 2022-10, Vol.31 (4), p.1189-1201

2022

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Variational Inference: A Review for Statisticians

Journal of the American Statistical Association, 2017-06, Vol.112 (518), p.859-877

2017

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AI Agents as Team Members: Effects on Satisfaction, Conflict, Trustworthiness, and Willingness to Work With

Journal of management information systems, 2023-04, Vol.40 (2), p.307-337

2023

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The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit

Annals of the American Association of Geographers, 2024-04, Vol.114 (4), p.753-769

2024

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MCMC for Imbalanced Categorical Data

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1394-1403

2019

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Splitting Methods for Convex Clustering

Journal of computational and graphical statistics, 2015-10, Vol.24 (4), p.994-1013

2015

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Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Journal of computational and graphical statistics, 2015-01, Vol.24 (1), p.44-65

2015

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Metropolis-Hastings via Classification

Journal of the American Statistical Association, 2023-10, Vol.118 (544), p.2533-2547

2023

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Toward Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach

Journal of computational and graphical statistics, 2016-07, Vol.25 (3), p.701-726

2016

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Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates

Journal of the American Statistical Association, 2024-04, Vol.119 (546), p.970-982

2024

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Variational Bayes for Fast and Accurate Empirical Likelihood Inference

Journal of the American Statistical Association, 2024-04, Vol.119 (546), p.1089-1101

2024

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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Journal of the American Statistical Association, 2018-07, Vol.113 (523), p.1228-1242

2018

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Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models

Journal of computational and graphical statistics, 2020-04, Vol.29 (2), p.238-249

2020

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Personalized Dose Finding Using Outcome Weighted Learning

Journal of the American Statistical Association, 2016-12, Vol.111 (516), p.1509-1521

2016

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SparseNet: Coordinate Descent With Nonconvex Penalties

Journal of the American Statistical Association, 2011-09, Vol.106 (495), p.1125-1138

2011

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Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity

Journal of the American Statistical Association, 2016-12, Vol.111 (516), p.1608-1622

2016

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Interaction Screening for Ultrahigh-Dimensional Data

Journal of the American Statistical Association, 2014-07, Vol.109 (507), p.1285-1301

2014

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Automated Redistricting Simulation Using Markov Chain Monte Carlo

Communication-Efficient Accurate Statistical Estimation

A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models

Sampling Algorithms for Discrete Markov Random Fields and Related Graphical Models

Learning Multiple Quantiles With Neural Networks

Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm

Efficient Bayesian Inference for Generalized Bradley-Terry Models

Search Algorithms and Loss Functions for Bayesian Clustering

Variational Inference: A Review for Statisticians

AI Agents as Team Members: Effects on Satisfaction, Conflict, Trustworthiness, and Willingness to Work With

The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit

MCMC for Imbalanced Categorical Data

Splitting Methods for Convex Clustering

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Metropolis-Hastings via Classification

Toward Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach

Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates

Variational Bayes for Fast and Accurate Empirical Likelihood Inference

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models

Personalized Dose Finding Using Outcome Weighted Learning

SparseNet: Coordinate Descent With Nonconvex Penalties

Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity

Interaction Screening for Ultrahigh-Dimensional Data

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