Gibbs sampling, exponential families and orthogonal polynomials P Diaconis, K Khare, L Saloff-Coste Statistical Science 23 (2), 151-178, 2008 | 132 | 2008 |

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 | 106 | 2015 |

Wishart distributions for decomposable covariance graph models K Khare, B Rajaratnam The Annals of Statistics 39 (1), 514-555, 2011 | 72 | 2011 |

Geometric ergodicity of the Bayesian lasso K Khare, JP Hobert Electronic Journal of Statistics 7, 2150-2163, 2013 | 40 | 2013 |

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 | 39 | 2011 |

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 | 36 | 2019 |

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 | 36 | 2009 |

Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression K Khare, JP Hobert Journal of Multivariate Analysis 112, 108-116, 2012 | 34 | 2012 |

Gibbs sampling, conjugate priors and coupling P Diaconis, K Khare, L Saloff-Coste Sankhya A 72 (1), 136-169, 2010 | 31 | 2010 |

A bayesian approach for envelope models K Khare, S Pal, Z Su The Annals of Statistics 45 (1), 196-222, 2017 | 30 | 2017 |

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 | 29 | 2016 |

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 | 28 | 2014 |

Geometric ergodicity for Bayesian shrinkage models S Pal, K Khare Electronic Journal of Statistics 8 (1), 604-645, 2014 | 28 | 2014 |

High dimensional posterior convergence rates for decomposable graphical models R Xiang, K Khare, M Ghosh Electronic Journal of Statistics 9 (2), 2828-2854, 2015 | 23 | 2015 |

Stochastic alternating projections P Diaconis, K Khare, L Saloff-Coste Illinois Journal of Mathematics 54 (3), 963-979, 2010 | 21 | 2010 |

High-dimensional posterior consistency in Bayesian vector autoregressive models S Ghosh, K Khare, G Michailidis Journal of the American Statistical Association, 2018 | 17 | 2018 |

Generalized pseudolikelihood methods for inverse covariance estimation A Ali, K Khare, SY Oh, B Rajaratnam Artificial Intelligence and Statistics, 280-288, 2017 | 17 | 2017 |

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 | 16 | 2017 |

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 | 14 | 2019 |

Sparse matrix decompositions and graph characterizations K Khare, B Rajaratnam Linear algebra and its applications 437 (3), 932-947, 2012 | 13 | 2012 |