Subhashis Ghosal

Bayesian Inference in Nonparanormal Graphical Models

BAYESIAN ANALYSIS, 15(2), 449–475.

Contraction properties of shrinkage priors in logistic regression

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 207, 215–229.

EMPIRICAL BAYES ORACLE UNCERTAINTY QUANTIFICATION FOR REGRESSION

ANNALS OF STATISTICS, 48(6), 3113–3137.

Preface of the Special Issue in Honor of Professor Jayanta Kumar Ghosh

Ghosal, S. (2020, March 3). SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY.

BAYESIAN MODELING OF THE STRUCTURAL CONNECTOME FOR STUDYING ALZHEIMER'S DISEASE

ANNALS OF APPLIED STATISTICS, 13(3), 1791–1816.

Bayesian Method for Causal Inference in Spatially-Correlated Multivariate Time Series

BAYESIAN ANALYSIS, 14(1), 1–28.

Bayesian Semiparametric ROC surface estimation under verification bias

Computational Statistics & Data Analysis, 133, 40–52.

Bayesian mode and maximum estimation and accelerated rates of contraction

BERNOULLI, 25(3), 2330–2358.

Bayesian nonparametric estimation of ROC surface under verification bias

STATISTICS IN MEDICINE, 38(18), 3361–3377.

Multivariate Gaussian network structure learning

Journal of Statistical Planning and Inference, 199, 327–342.

Bayesian Discriminant Analysis Using a High Dimensional Predictor

Sankhya A, 80(S1), 112–145.

Bayesian classification of multiclass functional data

ELECTRONIC JOURNAL OF STATISTICS, 12(2), 4669–4696.

Analyzing ozone concentration by Bayesian spatio-temporal quantile regression

Environmetrics, 28(4).

BAYESIAN DETECTION OF IMAGE BOUNDARIES

ANNALS OF STATISTICS, 45(5), 2190–2217.

Bayesian Estimation of Principal Components for Functional Data

BAYESIAN ANALYSIS, 12(2), 311–333.

Bayesian inference for higher-order ordinary differential equation models

Journal of Multivariate Analysis, 157, 103–114.

Bayesian quantile regression using random B-spline series prior

Computational Statistics & Data Analysis, 109, 121–143.

Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models

Bernoulli, 23(4B), 3537–3570.

Posterior contraction rates of density derivative estimation

Sankhya-Series A-Mathematical Statistics and Probability, 79(2), 336–354.

Adaptive Bayesian density regression for high-dimensional data

Bernoulli, 22(1), 396–420.

Bayesian Clustering of Functional Data Using Local Features

BAYESIAN ANALYSIS, 11(1), 71–98.

Editorial overview: Special issue on Bayesian nonparametrics. Subhashis Ghosal Guest editor of the special issue on Bayesian nonparametrics

Electronic Journal of Statistics, 10(2), 3217–3218.

Forward selection and estimation in high dimensional single index models

Statistical Methodology, 33, 172–179.

Sparse penalized forward selection for support vector classification

Journal of Computational and Graphical Statistics, 25(2), 493–514.

Supremum norm posterior contraction and credible sets for nonparametric multivariate regression

Annals of Statistics, 44(3), 1069–1102.

Adaptive Bayesian procedures using random series priors

Scandinavian Journal of Statistics: Theory and Applications, 42(4), 1194–1213.

Bayesian structure learning in graphical models

Journal of Multivariate Analysis, 136, 147–162.

Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets"

Annals of Statistics, 43(4), 1455–1462.

Fast translation invariant multiscale image denoising

IEEE Transactions on Image Processing, 24(12), 4876–4887.

Prediction consistency of forward iterated regression and selection technique

Statistics & Probability Letters, 107, 79–83.

Special issue on Bayesian nonparametrics

Journal of Statistical Planning and Inference, 166, 1–1.

Bayesian Multiscale Smoothing of Gaussian Noised Images

BAYESIAN ANALYSIS, 9(3), 733–758.

Bayesian ROC curve estimation under verification bias

Statistics in Medicine, 33(29), 5081–5096.

Fast Bayesian model assessment for nonparametric additive regression

Computational Statistics & Data Analysis, 71, 347–358.

Posterior convergence rates for estimating large precision matrices using graphical models

Electronic Journal of Statistics, 8, 2111–2137.

Adaptive Bayesian multivariate density estimation with Dirichlet mixtures

Biometrika, 100(3), 623–640.

Denoising three-dimensional and colored images using a Bayesian multi-scale model for photon counts

Signal Processing, 93(11), 2906–2914.

Optimal two-stage procedures for estimating location and size of the maximum of a multivariate regression function

Annals of Statistics, 40(6), 2850–2876.

Bayesian smoothing of photon-limited images with applications in astronomy

Journal of the Royal Statistical Society. Series B, Statistical Methodology, 73, 579–599.

Identifiability of the proportion of null hypotheses in skew-mixture models for the p-value distribution

Electronic Journal of Statistics, 5, 329–341.

Predicting false discovery proportion under dependence

Journal of the American Statistical Association, 106(495), 1208–1218.

Reference priors for exponential families with increasing dimension

Electronic Journal of Statistics, 4, 737–780.

The L-1-consistency of Dirichlet mixtures in multivariate Bayesian density estimation

Journal of Multivariate Analysis, 101(10), 2411–2419.

Bayesian ROC curve estimation under binormality using a rank likelihood

Journal of Statistical Planning and Inference, 139(6), 2076–2083.

Bayesian nonparametric approach to multiple testing

Perspectives in mathematical sciences i: probability and statistics, 7, 139–164.

Convergence properties of sequential Bayesian D-optimal designs

Journal of Statistical Planning and Inference, 139(2), 425–440.

FIRST: Combining forward iterative selection and shrinkage in high dimensional sparse linear regression

Statistics and Its Interface, 2(3), 341–348.

Bayesian bootstrap estimation of ROC curve

Statistics in Medicine, 27(26), 5407–5420.

Strong approximations for resample quantile processes and application to ROC methodology

Journal of Nonparametric Statistics, 20(3), 229–240.

A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities

Computational Statistics & Data Analysis, 51(9), 4424–4437.

Convergence rates of posterior distributions for noniid observations

ANNALS OF STATISTICS, 35(1), 192–223.

Nonparametric Bayesian estimation of positive false discovery rates

BIOMETRICS, 63(4), 1126–1134.

Posterior consistency of Dirichlet mixtures for estimating a transition density

Journal of Statistical Planning and Inference, 137(6), 1711–1726.

Posterior convergence rates of dirichlet mixtures at smooth densities

ANNALS OF STATISTICS, 35(2), 697–723.

Posterior consistency of Gaussian process prior for nonparametric binary regression

ANNALS OF STATISTICS, 34(5), 2413–2429.

Bayesian estimation of the spectral density of a time series

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 99(468), 1050–1059.

Contiguity of the Whittle measure for a Gaussian time series

BIOMETRIKA, 91(1), 211–218.

Adaptive Bayesian inference on the mean of an infinite-dimensional normal distribution

Annals of Statistics, 31(2), 536–559.

On Bayesian adaptation

ACTA APPLICANDAE MATHEMATICAE, 79(1-2), 165–175.

Posterior consistency for semi-parametric regression problems

BERNOULLI, 9(2), 291–312.

Asymptotic normality of posterior distributions in high-dimensional linear models

BERNOULLI, 5(2), 315–331.