Kshitij Khare

University of Florida — United States

Mathematics · Physical Sciences

16h-index846citations104works0.42yr avg
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Research Topics

Statistical Methods and Inference(56), Statistical Methods and Bayesian Inference(35), Bayesian Methods and Mixture Models(28), Markov Chains and Monte Carlo Methods(28), Genetic and phenotypic traits in livestock(11)

Publications104 total

Bayesian Compressed Mixed-Effects Models
arXiv (Cornell University)·2025Open Access
High dimensional convergence rates for sparse precision estimators for matrix-variate data
arXiv (Cornell University)·2025Open Access
Posterior consistency in multi-response regression models with non-informative priors for the error covariance matrix in growing dimensions
Bernoulli·2025· 1 cited
Graphical Model Selection to Infer the Partial Correlation Network of Allelic Effects in Genomic Prediction With an Application in Dairy Cattle
Journal of Animal Breeding and Genetics·2025· 3 cited
A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
arXiv (Cornell University)·2024Open Access
Scalable and non-iterative graphical model estimation
arXiv (Cornell University)·2024Open Access
ACSSpack: ACSS, Corresponding ACSS, and GLP Algorithm
2024Open Access
The data augmentation algorithm
arXiv (Cornell University)·2024Open Access
Recurrence and transience of a Markov chain on $\mathbb Z$<sup>+</sup> and evaluation of prior distributions for a Poisson mean
Journal of Applied Probability·2024Open Access
A semi-parametric approach for estimating consumer valuation distributions using second price auctions
arXiv (Cornell University)·2023Open Access
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
arXiv (Cornell University)·2023· 1 citedOpen Access
The Bayesian nested lasso for mixed frequency regression models
The Annals of Applied Statistics·2023· 3 cited
Posterior consistency in multi-response regression models with non-informative priors for the error covariance matrix in growing dimensions
arXiv (Cornell University)·2023Open Access
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data
The Annals of Applied Statistics·2023· 3 cited
Convergence properties of data augmentation algorithms for high-dimensional robit regression
Electronic Journal of Statistics·2023Open Access
Response Variable Selection in Multivariate Linear Regression
Statistica Sinica·2022· 2 citedOpen Access
Asynchronous and Distributed Data Augmentation for Massive Data Settings
Journal of Computational and Graphical Statistics·2022· 1 citedOpen Access
MCMC Convergence for Global-Local Shrinkage Priors
Journal of Quantitative Economics·2022
A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions
Statistics and Computing·2022· 5 citedOpen Access
A Bayesian Framework for Sparse Estimation in High-Dimensional Mixed Frequency Vector Autoregressive Models
Statistica Sinica·2022· 3 cited
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Frequent Co-authors

Bala Rajaratnam(9), James P. Hobert(9), George Michailidis(6), Malay Ghosh(5), Saptarshi Chakraborty(5), Syed M Rahman(5), Carlos Alberto Martínez(5), Sang‐Yun Oh(4), Xuan Cao(4), Subhadip Pal(4), Qian Qin(4), Malay Ghosh(3), Mauricio A. Elzo(3), Suman K. Bhattacharya(3), Satyajit Ghosh(2), Ruoxuan Xiang(2), Persi Diaconis(2), Laurent Saloff‐Coste(2), Sang Min Oh(2), Doug Sparks(2)