Kshitij Khare

发表

Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors

Xuan Cao, Kshitij Khare, Malay Ghosh, 2020, J. Multivar. Anal..

High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models

Kshitij Khare, George Michailidis, Satyajit Ghosh, 2018, Journal of the American Statistical Association.

A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data

Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam, 2019, Machine Learning.

Consistent estimation of the spectrum of trace class Data Augmentation algorithms

Kshitij Khare, Saptarshi Chakraborty, K. Khare, 2017, Bernoulli.

Constructions of Gaussian fields from Markov processes, and related topics

Kshitij Khare, 2009 .

Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression

Kshitij Khare, James P. Hobert, J. Hobert, 2012, J. Multivar. Anal..

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation

Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam, 2016, AISTATS.

Asymptotic expansion of the posterior density in high dimensional generalized linear models

Kshitij Khare, Malay Ghosh, Shibasish Dasgupta, 2014, J. Multivar. Anal..

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection

Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam, 2014, NIPS.

Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods

Kshitij Khare, Liyuan Zhang, Bala Rajaratnam, 2019 .

B-CONCORD -- A scalable Bayesian high-dimensional precision matrix estimation procedure

Kshitij Khare, George Michailidis, Peyman Jalali, 2020 .

Convergence properties of data augmentation algorithms for high-dimensional robit regression

Kshitij Khare, Department of Biostatistics, University of Florida, 2021 .

Geometric ergodicity of Gibbs samplers for the Horseshoe and its regularized variants

Kshitij Khare, Subhadip Pal, Suman K. Bhattacharya, 2021, 2101.00366.

Asynchronous and Distributed Data Augmentation for Massive Data Settings

Kshitij Khare, Jiayuan Zhou, Sanvesh Srivastava, 2021, Journal of Computational and Graphical Statistics.

A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions

Kshitij Khare, George Michailidis, Srijata Samanta, 2022, Statistics and Computing.

Wishart distributions for decomposable covariance graph models

Kshitij Khare, Bala Rajaratnam, K. Khare, 2011, 1103.1768.

Wishart Distributions for Covariance Graph Models

Kshitij Khare, Bala Rajaratnam, K. Khare, 2009 .

A Bayesian approach for envelope models

Kshitij Khare, Zhihua Su, Subhadip Pal, 2017 .

Convergence Analysis of MCMC Algorithms for Bayesian Multivariate Linear Regression with Non‐Gaussian Errors

Kshitij Khare, James P. Hobert, Qian Qin, 2018 .

Geometric ergodicity of the Bayesian lasso

Kshitij Khare, James P. Hobert, J. Hobert, 2013 .

RATES OF CONVERGENCE OF SOME MULTIVARIATE MARKOV CHAINS WITH POLYNOMIAL EIGENFUNCTIONS

Kshitij Khare, Hua Zhou, K. Khare, 2009, 0906.4242.

Geometric ergodicity for Bayesian shrinkage models

Kshitij Khare, Subhadip Pal, K. Khare, 2014 .

High dimensional posterior convergence rates for decomposable graphical models

Kshitij Khare, Malay Ghosh, M. Ghosh, 2015 .

Consistency of Bayes factors under hyper g-priors with growing model size

Kshitij Khare, Malay Ghosh, M. Ghosh, 2016 .

Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models

Kshitij Khare, Malay Ghosh, Xuan Cao, 2016, The Annals of Statistics.

Kshitij Khare, Syed Rahman, K. Khare, 2016, Journal of theoretical biology.

Bayesian inference for Gaussian graphical models beyond decomposable graphs

Kshitij Khare, Bala Rajaratnam, Abhishek Saha, 2015, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

High-Dimensional Posterior Consistency for Hierarchical Non-Local Priors in Regression

Kshitij Khare, Malay Ghosh, Xuan Cao, 2017 .