Subhashis Ghoshal

Works (40)

Updated: March 2nd, 2024 19:09

2023 journal article

Posterior contraction and testing for multivariate isotonic regression

ELECTRONIC JOURNAL OF STATISTICS, 17(1), 798–822.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Multivariate isotonic regression; contraction rate; Bayesian tests for multivariate monotonicity
Source: Web Of Science
Added: May 15, 2023

2022 journal article

BAYESIAN INFERENCE ON MULTIVARIATE MEDIANS AND QUANTILES

STATISTICA SINICA, 32(1), 517–538.

By: I. Bhattacharya & S. Ghosal

author keywords: Affine equivariance; Bayesian bootstrap; Donsker class; Dirichlet process; empirical process; multivariate median
Source: Web Of Science
Added: January 18, 2022

2022 article

Discussion of "Confidence Intervals for Nonparametric Empirical Bayes Analysis" by Ignatiadis and Wager

Ghosal, S. (2022, September 14). JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, Vol. 117, pp. 1171–1174.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
Source: Web Of Science
Added: October 24, 2022

2022 journal article

Rates and coverage for monotone densities using projection-posterior

BERNOULLI, 28(2), 1093–1119.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Monotone density; contraction rate; Bayesian test for monotonicity; credible interval; coverage
Source: Web Of Science
Added: March 28, 2022

2022 journal article

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

BERNOULLI, 28(3), 1625–1647.

By: P. Bhaumik n, W. Shi  n & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Partial differential equation; generalized regression; two-step method; projection posterior; Bernstein-von Mises theorem; contiguity; B-splines; tensor products
Source: Web Of Science
Added: May 23, 2022

2021 journal article

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

ELECTRONIC JOURNAL OF STATISTICS, 15(2), 4545–4579.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: High-dimensional inference; Gaussian graphical model; measurement error; posterior contraction rate; sparsity
Sources: Web Of Science, ORCID
Added: February 28, 2022

2021 journal article

Posterior contraction in sparse generalized linear models

BIOMETRIKA, 108(2), 367–379.

co-author countries: Korea (Republic of) πŸ‡°πŸ‡· United States of America πŸ‡ΊπŸ‡Έ
author keywords: Fractional posterior; Generalized linear model; High-dimensional regression; Posterior contraction rate; Sparsity-inducing prior
Source: Web Of Science
Added: July 12, 2021

2021 journal article

Unified Bayesian theory of sparse linear regression with nuisance parameters

ELECTRONIC JOURNAL OF STATISTICS, 15(1), 3040–3111.

co-author countries: Korea (Republic of) πŸ‡°πŸ‡· United States of America πŸ‡ΊπŸ‡Έ
author keywords: Bernstein-von Mises theorems; High-dimensional regression; Model selection consistency; Posterior contraction rates; Sparse priors
Source: Web Of Science
Added: June 28, 2021

2020 journal article

Bayesian linear regression for multivariate responses under group sparsity

BERNOULLI, 26(3), 2353–2382.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Bayesian variable selection; covariance matrix; group sparsity; multivariate linear regression; posterior contraction rate; Renyi divergence; spike-and-slab prior
Source: Web Of Science
Added: May 18, 2020

2020 journal article

Posterior contraction and credible sets for filaments of regression functions

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

By: W. Li & S. Ghosal

author keywords: Filament; nonparametric regression; posterior contraction; credibility; coverage; B-splines
Source: Web Of Science
Added: August 3, 2020

2019 journal article

Bayesian Semiparametric ROC surface estimation under verification bias

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

By: R. Zhu n & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: ROC surface; Verification bias correction; Trinormal model; MAR assumption
Sources: Crossref, Web Of Science
Added: March 25, 2019

2019 journal article

Multivariate Gaussian network structure learning

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

By: X. Du n & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Graphical model; Group penalty; Multivariate normal; Rate of convergence
Sources: Crossref, Web Of Science
Added: November 5, 2018

2018 journal article

Bayesian Discriminant Analysis Using a High Dimensional Predictor

Sankhya A, 80(S1), 112–145.

By: X. Du n & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Discriminant analysis; High dimensional predictor; Posterior concentration; Shrinkage prior; Sparsity
Sources: Crossref, Web Of Science
Added: July 15, 2019

2018 journal article

Bayesian non-parametric simultaneous quantile regression for complete and grid data

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

By: P. Das* & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: B-spline prior; Black-box optimization; Block Metropolis-Hastings; Non-parametric quantile regression; North Atlantic hurricane data; US household income data
Source: Crossref
Added: January 19, 2020

2017 journal article

Analyzing ozone concentration by Bayesian spatio-temporal quantile regression

Environmetrics, 28(4), e2443.

By: P. Das n & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: B-spline prior; block Metropolis-Hastings; spatio-temporal quantile regression; U; S; ozone data
Source: Crossref
Added: January 19, 2020

2017 journal article

Bayesian inference for higher-order ordinary differential equation models

Journal of Multivariate Analysis, 157, 103–114.

By: P. Bhaumik & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Bayesian inference; Bernstein-von Mises theorem; Higher order ordinary differential equation; Runge-Kutta method; Spline smoothing
Source: Crossref
Added: January 19, 2020

2017 journal article

Bayesian quantile regression using random B-spline series prior

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

By: P. Das n & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: B-spline prior; Gaussian process; Quantile regression; Atlantic Hurricane data; US population data
Source: Crossref
Added: January 19, 2020

2017 journal article

Median Analysis of Repeated Measures Associated with Recurrent Events in Presence of Terminal Event

INTERNATIONAL JOURNAL OF BIOSTATISTICS, 13(1).

By: R. Sundaram *, L. Ma * & S. Ghoshal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: recurrent events; quantile regression; informative censoring; estimating equations; survival analysis
MeSH headings : Computer Simulation; Female; Follow-Up Studies; Humans; Models, Statistical; Ovarian Neoplasms / economics; Ovarian Neoplasms / therapy; Recurrence; Research Design
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Posterior Contraction Rates of Density Derivative Estimation

Sankhya A, 79(2), 336–354.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: B-spline; Density derivative estimation; Nonparametric Bayes; Posterior contraction rate; Tensor product
Source: Crossref
Added: January 19, 2020

2016 journal article

Forward selection and estimation in high dimensional single index models

Statistical Methodology, 33, 172–179.

By: S. Luo n & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Forward selection; High dimension; Sparsity; Single index model; Penalization; Variable selection
Sources: Crossref, Web Of Science
Added: August 6, 2018

2016 journal article

Sparse Penalized Forward Selection for Support Vector Classification

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

By: S. Ghosal, B. Turnbull, H. Zhang & W. Hwang

author keywords: High dimension; Penalization; Sparsity; SVM; Variable selection
Source: Crossref
Added: January 19, 2020

2015 journal article

Bayesian structure learning in graphical models

Journal of Multivariate Analysis, 136, 147–162.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Graphical lasso; Graphical models; Laplace approximation; Posterior convergence; Precision matrix
Source: Crossref
Added: January 19, 2020

2015 journal article

Prediction consistency of forward iterated regression and selection technique

Statistics & Probability Letters, 107, 79–83.

By: S. Luo n & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Forward selection; High dimension; Sparsity; Linear regression; Penalization; Prediction consistency
Sources: Crossref, Web Of Science
Added: August 6, 2018

2015 journal article

Special issue on Bayesian nonparametrics

Journal of Statistical Planning and Inference, 166, 1.

By: S. Ghoshal n, B. Kleijn *, A. van der Vaart * & H. van Zanten*

co-author countries: Netherlands πŸ‡³πŸ‡± United States of America πŸ‡ΊπŸ‡Έ
Source: Crossref
Added: January 19, 2020

2014 journal article

Bayesian ROC curve estimation under verification bias

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: binormal model; MAR assumption; posterior consistency; ROC curve; verification bias-correction
MeSH headings : Bayes Theorem; Bias; Computer Simulation; Data Interpretation, Statistical; Humans; Markov Chains; Models, Biological; Monte Carlo Method; Patient Selection; ROC Curve; Regression Analysis
Source: Crossref
Added: April 10, 2022

2014 journal article

Bayesian variable selection in generalized additive partial linear models

Stat, 3(1), 363–378.

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: generalized additive models; group lasso; Laplace approximation; penalized regression; variable selection
Source: Crossref
Added: April 10, 2022

2014 journal article

Fast Bayesian model assessment for nonparametric additive regression

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

By: S. McKay Curtis n, S. Banerjee n & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Group LASSO; Laplace approximation; Model uncertainty; Penalized regression; Variable selection
Sources: Crossref, Web Of Science
Added: August 6, 2018

2014 chapter

Multiple Testing Approaches for Removing Background Noise from Images

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

By: J. White* & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
Source: Crossref
Added: April 10, 2022

2013 journal article

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

Signal Processing, 93(11), 2906–2914.

By: J. Thomas White* & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
Source: Crossref
Added: April 10, 2022

2013 journal article

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

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

By: G. Bean*, E. Dimarco*, L. Mercer *, L. Thayer*, A. Roy * & S. Ghosal  n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Multiple testing; p-value density; Shape restriction
Source: Crossref
Added: April 10, 2022

2013 journal article

Iterative selection using orthogonal regression techniques

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

By: B. Turnbull n, S. Ghosal  n & H. Zhang *

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: forward selection; orthogonalization; high dimensional regression; LASSO
Source: Crossref
Added: April 10, 2022

2012 journal article

OPTIMAL TWO-STAGE PROCEDURES FOR ESTIMATING LOCATION AND SIZE OF THE MAXIMUM OF A MULTIVARIATE REGRESSION FUNCTION

ANNALS OF STATISTICS, 40(6), 2850–2876.

By: E. Belitser, S. Ghosal & H. Zanten

author keywords: Two-stage procedure; optimal rate; sequential design; multi-stage procedure; adaptive estimation
Source: Web Of Science
Added: March 22, 2021

2010 journal article

The L1-consistency of Dirichlet mixtures in multivariate Bayesian density estimation

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Posterior consistency; Dirichlet process; Mixture; Posterior consistency; Posterior distribution; Kullback-Leibler property; Multivariate; Density estimation
Source: Crossref
Added: April 10, 2022

2009 journal article

Bayesian ROC curve estimation under binormality using a rank likelihood

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Binormal model; MCMC; Rank-based likelihood; ROC curve; Posterior consistency
Source: Crossref
Added: April 10, 2022

2009 journal article

Convergence properties of sequential Bayesian D-optimal designs

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Adaptive designs; Asymptotic normality; Discrete optimal design; Dose-response; Posterior convergence
Sources: Crossref, Web Of Science
Added: August 6, 2018

2008 journal article

Bayesian bootstrap estimation of ROC curve

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: area under the curve (AUC); Bayesian bootstrap; integrated absolute error; ROC Curve; testing binormality
MeSH headings : Bayes Theorem; Computer Simulation; Data Interpretation, Statistical; Diagnostic Tests, Routine / methods; Humans; Models, Statistical; Predictive Value of Tests; Prognosis; ROC Curve; Research Design; Software; Statistics, Nonparametric
Sources: Crossref, Web Of Science
Added: August 6, 2018

2008 journal article

Strong approximations for resample quantile processes and application to ROC methodology

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Bayesian bootstrap; Kiefer process; ROC curve; strong approximation; quantile process
Sources: Crossref, Web Of Science
Added: August 6, 2018

2007 journal article

A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities

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

By: Y. Tang* & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Dirichlet process mixture models; posterior consistency; no-gaps algorithm
Sources: Crossref, Web Of Science
Added: August 6, 2018

2007 journal article

Nonparametric binary regression using a Gaussian process prior

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

By: N. Choudhuri, S. Ghosal  n & A. Roy *

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
Source: Crossref
Added: April 10, 2022

2007 journal article

Posterior consistency of Dirichlet mixtures for estimating a transition density

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

By: Y. Tang* & S. Ghosal n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Dirichlet mixture; Markov process; posterior consistency; transition density; uniformly exponentially consistent tests
Sources: Crossref, Web Of Science
Added: August 6, 2018

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