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 | 150 | 2015 |

Gibbs sampling, exponential families and orthogonal polynomials P Diaconis, K Khare, L Saloff-Coste | 150 | 2008 |

Wishart distributions for decomposable covariance graph models K Khare, B Rajaratnam | 83 | 2011 |

Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models X Cao, K Khare, M Ghosh | 70 | 2019 |

Geometric ergodicity of the Bayesian lasso K Khare, JP Hobert | 56 | 2013 |

High-dimensional posterior consistency in Bayesian vector autoregressive models S Ghosh, K Khare, G Michailidis Journal of the American Statistical Association, 2019 | 49 | 2019 |

Rates of convergence of some multivariate Markov chains with polynomial eigenfunctions K Khare, H Zhou | 49 | 2009 |

A spectral analytic comparison of trace-class data augmentation algorithms and their sandwich variants K Khare, JP Hobert | 48 | 2011 |

A bayesian approach for envelope models K Khare, S Pal, Z Su | 47 | 2017 |

Geometric ergodicity of the Gibbs sampler for Bayesian quantile regression K Khare, JP Hobert Journal of Multivariate Analysis 112, 108-116, 2012 | 47 | 2012 |

Geometric ergodicity for Bayesian shrinkage models S Pal, K Khare | 42 | 2014 |

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 | 38 | 2016 |

High dimensional posterior convergence rates for decomposable graphical models R Xiang, K Khare, M Ghosh | 37 | 2015 |

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

Optimization methods for sparse pseudo-likelihood graphical model selection S Oh, O Dalal, K Khare, B Rajaratnam Advances in Neural Information Processing Systems 27, 2014 | 30 | 2014 |

Stochastic alternating projections P Diaconis, K Khare, L Saloff-Coste Illinois Journal of Mathematics 54 (3), 963-979, 2010 | 29 | 2010 |

High-dimensional posterior consistency for hierarchical non-local priors in regression X Cao, K Khare, M Ghosh | 26 | 2020 |

A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data K Khare, SY Oh, S Rahman, B Rajaratnam Machine Learning 108, 2061-2086, 2019 | 22 | 2019 |

Convergence properties of Gibbs samplers for Bayesian probit regression with proper priors S Chakraborty, K Khare | 21 | 2017 |

Trace class Markov chains for Bayesian inference with generalized double Pareto shrinkage priors S Pal, K Khare, JP Hobert Scandinavian Journal of Statistics 44 (2), 307-323, 2017 | 19 | 2017 |