15 citations · 15 across the 2 of their papers we have counts for
4 papers
Divide and Recombine for Large and Complex Data: Model Likelihood Functions using MCMC
Qi Liu, Anindya Bhadra, William S. Cleveland
In Divide & Recombine (D&R), big data are divided into subsets, each analytic method is applied to subsets, and the outputs are recombined. This enables deep analysis and practical…
Inferring network structure in non-normal and mixed discrete-continuous genomic data
Anindya Bhadra, Arvind Rao, Veerabhadran Baladandayuthapani
Inferring dependence structure through undirected graphs is crucial for uncovering the major modes of multivariate interaction among high-dimensional genomic markers that are poten…
The Horseshoe+ Estimator of Ultra-Sparse Signals
Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson +1
We propose a new prior for ultra-sparse signal detection that we term the "horseshoe+ prior." The horseshoe+ prior is a natural extension of the horseshoe prior that has achieved s…
Contribution of a nearby Pulsar to Cosmic Rays observed at Earth
A. Bhadra
Contribution of nearby pulsars to the cosmic rays observed at Earth has been studied. It is found that the experimental bound on amplitude of cosmic ray anisotropy may produce sign…