Subhashis Ghoshal

BAYESIAN INFERENCE ON MULTIVARIATE MEDIANS AND QUANTILES

STATISTICA SINICA.

Rates and coverage for monotone densities using projection-posterior

BERNOULLI.

Two-step Bayesian methods for generalized regression driven by partial differential equations

BERNOULLI.

Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error

ELECTRONIC JOURNAL OF STATISTICS.

OPTIMAL TWO-STAGE PROCEDURES FOR ESTIMATING LOCATION AND SIZE OF THE MAXIMUM OF A MULTIVARIATE REGRESSION FUNCTION (vol 40, 2850, 2012)

Belitser, E., Ghosal, S., & Zanten, H. (2021, February). ANNALS OF STATISTICS, Vol. 49, pp. 612–613.

Posterior contraction in sparse generalized linear models

BIOMETRIKA.

Unified Bayesian theory of sparse linear regression with nuisance parameters

ELECTRONIC JOURNAL OF STATISTICS.

Bayesian linear regression for multivariate responses under group sparsity

BERNOULLI, 26(3), 2353–2382.

Posterior contraction and credible sets for filaments of regression functions

ELECTRONIC JOURNAL OF STATISTICS, 14(1), 1707–1743.

Bayesian Semiparametric ROC surface estimation under verification bias

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

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 non-parametric simultaneous quantile regression for complete and grid data

Computational Statistics & Data Analysis, 127, 172–186.

Analyzing ozone concentration by Bayesian spatio-temporal quantile regression

Environmetrics, 28(4), e2443.

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.

Median analysis of repeated measures associated with recurrent events in presence of terminal event

International Journal of Biostatistics, 13(1).

Posterior Contraction Rates of Density Derivative Estimation

Sankhya A, 79(2), 336–354.

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.

Bayesian structure learning in graphical models

Journal of Multivariate Analysis, 136, 147–162.

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.

Bayesian ROC curve estimation under verification bias

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

Bayesian variable selection in generalized additive partial linear models

Stat, 3(1), 363–378.

Fast Bayesian model assessment for nonparametric additive regression

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

Multiple Testing Approaches for Removing Background Noise from Images

In Springer Proceedings in Mathematics & Statistics (pp. 95–104).

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

Signal Processing, 93(11), 2906–2914.

Finite skew-mixture models for estimation of positive false discovery rates

Statistical Methodology, 10(1), 46–57.

Iterative selection using orthogonal regression techniques

Statistical Analysis and Data Mining, 6(6), 557–564.

The L1-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.

Convergence properties of sequential Bayesian D-optimal designs

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

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.

Nonparametric binary regression using a Gaussian process prior

Statistical Methodology, 4(2), 227–243.

Posterior consistency of Dirichlet mixtures for estimating a transition density

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