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06/08/2023
Bayesian Inference for Multivariate Monotone Densities
We consider a nonparametric Bayesian approach to estimation and testing ...
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06/08/2023
Bayesian Inference for k-Monotone Densities with Applications to Multiple Testing
Shape restriction, like monotonicity or convexity, imposed on a function...
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11/22/2022
Posterior Contraction and Testing for Multivariate Isotonic Regression
We consider the nonparametric regression problem with multiple predictor...
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11/22/2022
Coverage of Credible Intervals in Bayesian Multivariate Isotonic Regression
We consider the nonparametric multivariate isotonic regression problem, ...
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01/12/2021
Bayesian inference in high-dimensional models
Models with dimension more than the available sample size are now common...
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08/24/2020
Unified Bayesian asymptotic theory for sparse linear regression
We study frequentist asymptotic properties of Bayesian procedures for hi...
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08/03/2020
Convergence Rates for Bayesian Estimation and Testing in Monotone Regression
Shape restrictions such as monotonicity on functions often arise natural...
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07/01/2020
Bayesian Multivariate Quantile Regression Using Dependent Dirichlet Process Prior
In this article, we consider a non-parametric Bayesian approach to multi...
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07/01/2020
Bayesian nonparametric tests for multivariate locations
In this paper, we propose Bayesian non-parametric tests for one-sample a...
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01/11/2020
Bayesian Semi-supervised learning under nonparanormality
Semi-supervised learning is a classification method which makes use of b...
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09/23/2019
Bayesian Inference on Multivariate Medians and Quantiles
In this paper, we consider Bayesian inference on a class of multivariate...
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12/08/2018
Regression Based Bayesian Approach for Nonparanormal Graphical Models
A nonparanormal graphical model is a semiparametric generalization of a ...
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12/07/2018
Rank Likelihood for Bayesian Nonparanormal Graphical Models
Gaussian graphical models, where it is assumed that the variables of int...
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08/03/2018
Bayesian Change Point Detection for Functional Data
We propose a Bayesian method to detect change points for functional data...
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08/02/2018
Bayesian Classification of Multiclass Functional Data
We propose a Bayesian approach to estimating parameters in multiclass fu...
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07/10/2018
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity
We study the frequentist properties of a Bayesian high-dimensional multi...
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06/12/2018
Bayesian Inference in Nonparanormal Graphical Models
Gaussian graphical models have been used to study intrinsic dependence a...
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03/18/2018
Bayesian ROC surface estimation under verification bias
The Receiver Operating Characteristic (ROC) surface is a generalization ...
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03/11/2018
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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01/19/2018
Bayesian method for causal inference in spatially-correlated multivariate time series
Measuring the causal impact of an advertising campaign on sales is an im...
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12/19/2017
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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09/16/2017