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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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Communication-Efficient Distributed Statistical Inference

Journal of the American Statistical Association, 2019-04, Vol.114 (526), p.668-681

2019

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Dirichlet–Laplace Priors for Optimal Shrinkage

Journal of the American Statistical Association, 2015-12, Vol.110 (512), p.1479-1490

2015

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Bayesian regression tree ensembles that adapt to smoothness and sparsity

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2018-11, Vol.80 (5), p.1087-1110

2018

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A general framework for updating belief distributions

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016-11, Vol.78 (5), p.1103-1130

2016

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Parallel Bayesian Global Optimization of Expensive Functions

Operations research, 2020-11, Vol.68 (6), p.1850-1865

2020

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Stochastic Gradient Markov Chain Monte Carlo

Journal of the American Statistical Association, 2021-03, Vol.116 (533), p.433-450

2021

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Frequentist Consistency of Variational Bayes

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1147-1161

2019

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Approximate Bayesian computation with the Wasserstein distance

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2019-04, Vol.81 (2), p.235-269

2019

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Model misspecification in approximate Bayesian computation: consequences and diagnostics

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2020-04, Vol.82 (2), p.421-444

2020

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Introduction to Functional Data Analysis

1, 2018

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Achieving shrinkage in a time-varying parameter model framework

Journal of econometrics, 2019-05, Vol.210 (1), p.75-97

2019

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Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models

The Journal of finance (New York), 2023-02, Vol.78 (1), p.487-557

2023

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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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Simple Bayesian Algorithms for Best-Arm Identification

Operations research, 2020-11, Vol.68 (6), p.1625-1647

Russo, Daniel

2020

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Robust Bayesian Inference via Coarsening

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1113-1125

2019

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Mixtures of g-Priors in Generalized Linear Models

Journal of the American Statistical Association, 2018-10, Vol.113 (524), p.1828-1845

2018

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Non-Bayesian Persuasion

The Journal of political economy, 2022-10, Vol.130 (10), p.2594-2642

2022

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ROBUST BAYESIAN INFERENCE FOR SET-IDENTIFIED MODELS

Econometrica, 2021-07, Vol.89 (4), p.1519-1556

2021

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A Bayesian information criterion for singular models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-03, Vol.79 (2), p.323-380

2017

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Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family

Journal of the American Statistical Association, 2020-12, Vol.115 (532), p.2037-2052

2020

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Analytic posteriors for Pearson's correlation coefficient

Statistica Neerlandica, 2018-02, Vol.72 (1), p.4-13

2018

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Bayesian Biostatistics

1, 2012

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Corrected Bayesian Information Criterion for Stochastic Block Models

Journal of the American Statistical Association, 2020-12, Vol.115 (532), p.1771-1783

2020

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Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1205-1217

2019

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Variational Inference: A Review for Statisticians

Communication-Efficient Distributed Statistical Inference

Dirichlet–Laplace Priors for Optimal Shrinkage

Bayesian regression tree ensembles that adapt to smoothness and sparsity

A general framework for updating belief distributions

Parallel Bayesian Global Optimization of Expensive Functions

Stochastic Gradient Markov Chain Monte Carlo

Frequentist Consistency of Variational Bayes

Approximate Bayesian computation with the Wasserstein distance

Model misspecification in approximate Bayesian computation: consequences and diagnostics

Introduction to Functional Data Analysis

Achieving shrinkage in a time-varying parameter model framework

Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models

Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity

Simple Bayesian Algorithms for Best-Arm Identification

Robust Bayesian Inference via Coarsening

Mixtures of g-Priors in Generalized Linear Models

Non-Bayesian Persuasion

ROBUST BAYESIAN INFERENCE FOR SET-IDENTIFIED MODELS

A Bayesian information criterion for singular models

Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family

Analytic posteriors for Pearson's correlation coefficient

Bayesian Biostatistics

Corrected Bayesian Information Criterion for Stochastic Block Models

Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection

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