
Bayesian inference in highdimensional models
Models with dimension more than the available sample size are now common...
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Unified Bayesian asymptotic theory for sparse linear regression
We study frequentist asymptotic properties of Bayesian procedures for hi...
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Convergence Rates for Bayesian Estimation and Testing in Monotone Regression
Shape restrictions such as monotonicity on functions often arise natural...
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Bayesian Multivariate Quantile Regression Using Dependent Dirichlet Process Prior
In this article, we consider a nonparametric Bayesian approach to multi...
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Bayesian nonparametric tests for multivariate locations
In this paper, we propose Bayesian nonparametric tests for onesample a...
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Bayesian Semisupervised learning under nonparanormality
Semisupervised learning is a classification method which makes use of b...
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Bayesian Inference on Multivariate Medians and Quantiles
In this paper, we consider Bayesian inference on a class of multivariate...
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Regression Based Bayesian Approach for Nonparanormal Graphical Models
A nonparanormal graphical model is a semiparametric generalization of a ...
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Rank Likelihood for Bayesian Nonparanormal Graphical Models
Gaussian graphical models, where it is assumed that the variables of int...
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Bayesian Change Point Detection for Functional Data
We propose a Bayesian method to detect change points for functional data...
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Bayesian Classification of Multiclass Functional Data
We propose a Bayesian approach to estimating parameters in multiclass fu...
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Bayesian Linear Regression for Multivariate Responses Under Group Sparsity
We study the frequentist properties of a Bayesian highdimensional multi...
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Bayesian Inference in Nonparanormal Graphical Models
Gaussian graphical models have been used to study intrinsic dependence a...
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Bayesian ROC surface estimation under verification bias
The Receiver Operating Characteristic (ROC) surface is a generalization ...
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Posterior Contraction and Credible Sets for Filaments of Regression Functions
A filament consists of local maximizers of a smooth function f when movi...
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Bayesian method for causal inference in spatiallycorrelated multivariate time series
Measuring the causal impact of an advertising campaign on sales is an im...
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High dimensional Single Index Bayesian Modeling of the Brain Atrophy over time
We study the effects of gender, APOE genes, age, genetic variation and A...
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Multivariate Gaussian Network Structure Learning
We consider a graphical model where a multivariate normal vector is asso...
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Subhashis Ghosal
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