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Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors

Statistics and computing, 2020-07, Vol.30 (4), p.839-853

2020

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A Gibbs Posterior Framework for Fair Clustering

Entropy (Basel, Switzerland), 2024-01, Vol.26 (1), p.63

2024

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Constrained Reweighting of Distributions: An Optimal Transport Approach

Entropy (Basel, Switzerland), 2024-03, Vol.26 (3), p.249

2024

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Bayesian optimization with adaptive surrogate models for automated experimental design

npj computational materials, 2021-12, Vol.7 (1), p.1-12, Article 194

2021

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EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models

Algorithms, 2024-05, Vol.17 (5), p.213

2024

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Posterior consistency in conditional distribution estimation

Journal of multivariate analysis, 2013-04, Vol.116, p.456-472

2013

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Bayesian Multiscale Modeling of Closed Curves in Point Clouds

Journal of the American Statistical Association, 2014-12, Vol.109 (508), p.1481-1494

2014

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LoSI: Large scale location inference through FM signal integration and estimation

Big Data Mining and Analytics, 2019-12, Vol.2 (4), p.319-348

2019

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Variable selection using shrinkage priors

Computational statistics & data analysis, 2017-03, Vol.107, p.107-119

2017

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α-VARIATIONAL INFERENCE WITH STATISTICAL GUARANTEES

The Annals of statistics, 2020-04, Vol.48 (2), p.886-905

2020

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Probabilistic Community Detection With Unknown Number of Communities

Journal of the American Statistical Association, 2019-04, Vol.114 (526), p.893-905

2019

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BAYESIAN FRACTIONAL POSTERIORS

The Annals of statistics, 2019-02, Vol.47 (1), p.39-66

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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ADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DENSITIES

Econometric theory, 2017-08, Vol.33 (4), p.980-1012

2017

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Reexamining the proton-radius problem using constrained Gaussian processes

Physical review. C, 2019-05, Vol.99 (5), Article 055202

2019

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A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors

Journal of the American Statistical Association, 2024-01, Vol.119 (545), p.582-596

2024

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Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

Journal of the American Statistical Association, 2023-09, p.1-15

2023

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ANISOTROPIC FUNCTION ESTIMATION USING MULTI-BANDWIDTH GAUSSIAN PROCESSES

The Annals of statistics, 2014-02, Vol.42 (1), p.352-381

2014

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Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models

Entropy (Basel, Switzerland), 2020-11, Vol.22 (11), p.1263

2020

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A TWO-STEP GEOMETRIC FRAMEWORK FOR DENSITY MODELING

Statistica Sinica, 2020-10, Vol.30 (4), p.2155-2177

2020

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A monotone single index model for missing-at-random longitudinal proportion data

Journal of applied statistics, 2024-04, Vol.51 (6), p.1023-1040

2024

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POSTERIOR CONTRACTION IN SPARSE BAYESIAN FACTOR MODELS FOR MASSIVE COVARIANCE MATRICES

The Annals of statistics, 2014-06, Vol.42 (3), p.1102-1130

2014

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Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology

Journal of the American Statistical Association, 2021-07, Vol.116 (535), p.1075-1087

2021

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Bayesian clustering of shapes of curves

Journal of statistical planning and inference, 2015-11, Vol.166, p.171-186

2015

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Blocked Gibbs sampler for hierarchical Dirichlet processes

Journal of computational and graphical statistics, 2024-08, p.1-31

2024

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Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors

A Gibbs Posterior Framework for Fair Clustering

Constrained Reweighting of Distributions: An Optimal Transport Approach

Bayesian optimization with adaptive surrogate models for automated experimental design

EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models

Posterior consistency in conditional distribution estimation

Bayesian Multiscale Modeling of Closed Curves in Point Clouds

LoSI: Large scale location inference through FM signal integration and estimation

Variable selection using shrinkage priors

α-VARIATIONAL INFERENCE WITH STATISTICAL GUARANTEES

Probabilistic Community Detection With Unknown Number of Communities

BAYESIAN FRACTIONAL POSTERIORS

Dirichlet–Laplace Priors for Optimal Shrinkage

ADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DENSITIES

Reexamining the proton-radius problem using constrained Gaussian processes

A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors

Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

ANISOTROPIC FUNCTION ESTIMATION USING MULTI-BANDWIDTH GAUSSIAN PROCESSES

Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models

A TWO-STEP GEOMETRIC FRAMEWORK FOR DENSITY MODELING

A monotone single index model for missing-at-random longitudinal proportion data

POSTERIOR CONTRACTION IN SPARSE BAYESIAN FACTOR MODELS FOR MASSIVE COVARIANCE MATRICES

Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology

Bayesian clustering of shapes of curves

Blocked Gibbs sampler for hierarchical Dirichlet processes

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