Publications (31)
Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh
Bertrand Clarke, Subhashis Ghosal
Bayesian ROC surface estimation under verification bias
Rui Zhu, Subhashis Ghosal
Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models
Prithwish Bhaumik, Subhashis Ghosal
Bayesian two-step estimation in differential equation models
Prithwish Bhaumik, Subhashis Ghosal
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity
Bo Ning, Seonghyun Jeong, Subhashis Ghosal
MCMC-free adaptive Bayesian procedures using random series prior
Weining Shen, Subhashis Ghosal
Posterior consistency of Dirichlet mixtures of beta densities in estimating positive false discovery rates
Subhashis Ghosal, Anindya Roy, Yongqiang Tang
Bayesian method for causal inference in spatially-correlated multivariate time series
Bo Ning, Subhashis Ghosal, Jewell Thomas
Discussion of "Frequentist coverage of adaptive nonparametric Bayesian credible sets"
Subhashis Ghosal
Posterior convergence rates of Dirichlet mixtures at smooth densities
Subhashis Ghosal, Aad van der Vaart
Multivariate Gaussian Network Structure Learning
Xingqi Du, Subhashis Ghosal
Bayesian Change Point Detection for Functional Data
Xiuqi Li, Subhashis Ghosal
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
Weining Shen, Surya T. Tokdar, Subhashis Ghosal
Bayesian mode and maximum estimation and accelerated rates of contraction
William Weimin Yoo, Subhashis Ghosal
Posterior convergence rates for estimating large precision matrices using graphical models
Sayantan Banerjee, Subhashis Ghosal
Bayesian estimation in differential equation models
Prithwish Bhaumik, Subhashis Ghosal
Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression
William Weimin Yoo, Subhashis Ghosal
Nonparametric Bayesian model selection and averaging
Subhashis Ghosal, Jüri Lember, Aad van der Vaart
J. K. Ghosh's contribution to statistics: A brief outline
Bertrand Clarke, Subhashis Ghosal
Optimal two-stage procedures for estimating location and size of the maximum of a multivariate regression function
Eduard Belitser, Subhashis Ghosal, Harry van Zanten
Adaptive Bayesian density regression for high-dimensional data
Weining Shen, Subhashis Ghosal
Adaptive Bayesian procedures using random series priors
Weining Shen, Subhashis Ghosal
Bayesian Detection of Image Boundaries
Meng Li, Subhashis Ghosal
Bayesian inference for higher order ordinary differential equation models
Prithwish Bhaumik, Subhashis Ghosal
Bayesian Classification of Multiclass Functional Data
Xiuqi Li, Subhashis Ghosal
Convergence rates of posterior distributions for noniid observations
Subhashis Ghosal, Aad van der Vaart
Analyzing Ozone Concentration by Bayesian Spatio-temporal Quantile Regression
Priyam Das, Subhashis Ghosal
Kullback Leibler property of kernel mixture priors in Bayesian density estimation
Yuefeng Wu, Subhashis Ghosal
Bayesian Non-parametric Simultaneous Quantile Regression for Complete and Grid Data
Priyam Das, Subhashis Ghosal
Bayesian estimation of a sparse precision matrix
Sayantan Banerjee, Subhashis Ghosal
Posterior consistency of Gaussian process prior for nonparametric binary regression
Subhashis Ghosal, Anindya Roy