Kshitij Khare
Title
Cited by
Cited by
Year
Gibbs sampling, exponential families and orthogonal polynomials
P Diaconis, K Khare, L Saloff-Coste
Statistical Science 23 (2), 151-178, 2008
1322008
A convex pseudolikelihood framework for high dimensional partial correlation estimation with convergence guarantees
K Khare, SY Oh, B Rajaratnam
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015
1062015
Wishart distributions for decomposable covariance graph models
K Khare, B Rajaratnam
The Annals of Statistics 39 (1), 514-555, 2011
722011
Geometric ergodicity of the Bayesian lasso
K Khare, JP Hobert
Electronic Journal of Statistics 7, 2150-2163, 2013
402013
A spectral analytic comparison of trace-class data augmentation algorithms and their sandwich variants
K Khare, JP Hobert
The Annals of Statistics 39 (5), 2585-2606, 2011
392011
Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models
X Cao, K Khare, M Ghosh
The Annals of Statistics 47 (1), 319-348, 2019
362019
Rates of convergence of some multivariate Markov chains with polynomial eigenfunctions
K Khare, H Zhou
The Annals of Applied Probability 19 (2), 737-777, 2009
362009
Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression
K Khare, JP Hobert
Journal of Multivariate Analysis 112, 108-116, 2012
342012
Gibbs sampling, conjugate priors and coupling
P Diaconis, K Khare, L Saloff-Coste
Sankhya A 72 (1), 136-169, 2010
312010
A bayesian approach for envelope models
K Khare, S Pal, Z Su
The Annals of Statistics 45 (1), 196-222, 2017
302017
RasGRP1 promotes amphetamine-induced motor behavior through a Rhes interaction network (“Rhesactome”) in the striatum
N Shahani, S Swarnkar, V Giovinazzo, J Morgenweck, LM Bohn, ...
Science signaling 9 (454), ra111-ra111, 2016
292016
Optimization methods for sparse pseudo-likelihood graphical model selection
S Oh, O Dalal, K Khare, B Rajaratnam
Advances in Neural Information Processing Systems 27, 667-675, 2014
282014
Geometric ergodicity for Bayesian shrinkage models
S Pal, K Khare
Electronic Journal of Statistics 8 (1), 604-645, 2014
282014
High dimensional posterior convergence rates for decomposable graphical models
R Xiang, K Khare, M Ghosh
Electronic Journal of Statistics 9 (2), 2828-2854, 2015
232015
Stochastic alternating projections
P Diaconis, K Khare, L Saloff-Coste
Illinois Journal of Mathematics 54 (3), 963-979, 2010
212010
High-dimensional posterior consistency in Bayesian vector autoregressive models
S Ghosh, K Khare, G Michailidis
Journal of the American Statistical Association, 2018
172018
Generalized pseudolikelihood methods for inverse covariance estimation
A Ali, K Khare, SY Oh, B Rajaratnam
Artificial Intelligence and Statistics, 280-288, 2017
172017
Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors
S Chakraborty, K Khare
Electronic Journal of Statistics 11 (1), 177-210, 2017
162017
Estimating the spectral gap of a trace-class Markov operator
Q Qin, JP Hobert, K Khare
Electronic Journal of Statistics 13 (1), 1790-1822, 2019
142019
Sparse matrix decompositions and graph characterizations
K Khare, B Rajaratnam
Linear algebra and its applications 437 (3), 932-947, 2012
132012
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Articles 1–20