Khare, Kshitij

1. Posterior Graph Selection and Estimation Consistency for High-dimensional Bayesian DAG Models
   2016/11/03 by Xuan Cao, Kshitij Khare, Cao, Xuan +3 · 4 citations
   Computer Science · Mathematics · #62F15 #62G20 #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
2. A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensions
   2022/01/14 by Srijata Samanta, Kshitij Khare, Samanta, Srijata +3 · 2 citations
   Mathematics · Biochemistry, Genetics and Molecular Biology · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Gene expression and cancer classification
3. Scalable Bayesian shrinkage and uncertainty quantification for high-dimensional regression
   2015/09/12 by Rajaratnam, Bala, Sparks, Doug, Khare, Kshitij +1 · 1 citation
   #62J05 #FOS: Computer and information sciences #Methodology (stat.ME)
4. Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors
   2019/03/08 by Cao, Xuan, Khare, Kshitij, Ghosh, Malay · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
5. Convergence of cyclic coordinatewise l1 minimization
   2014/04/21 by Kshitij Khare, Khare, Kshitij, Bala Rajaratnam +1 · 1 citation
   Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Advanced Optimization Algorithms Research
6. B-CONCORD -- A scalable Bayesian high-dimensional precision matrix\n estimation procedure
   2020/05/18 by Peyman Jalali, Jalali, Peyman, Kshitij Khare +3 · 1 citation
   Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Sparse and Compressive Sensing Techniques #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
7. Asynchronous and Distributed Data Augmentation for Massive Data Settings
   2021/09/18 by Zhou, Jiayuan, Khare, Kshitij, Srivastava, Sanvesh · 1 citation
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
8. Estimating accuracy of the MCMC variance estimator: a central limit theorem for batch means estimators
   2019/11/03 by Saptarshi Chakraborty, Suman K. Bhattacharya, Chakraborty, Saptarshi +3 · 1 citation
   Mathematics · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
9. Scalable Bayesian shrinkage and uncertainty quantification in high-dimensional regression
   2017/03/27 by Bala Rajaratnam, Doug Sparks, Rajaratnam, Bala +5 · 1 citation
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference