68 citations · 319 across the 71 of their papers we have counts for
4 papers · 1 filter
Optimal Bayesian estimation in stochastic block models
Debdeep Pati, Anirban Bhattacharya
With the advent of structured data in the form of social networks, genetic circuits and protein interaction networks, statistical analysis of networks has gained popularity over re…
Bayesian Clustering of Shapes of Curves
Zhengwu Zhang, Debdeep Pati, Anuj Srivastava
Unsupervised clustering of curves according to their shapes is an important problem with broad scientific applications. The existing model-based clustering techniques either rely o…
Variable Selection Using Shrinkage Priors
Hanning Li, Debdeep Pati
Variable selection has received widespread attention over the last decade as we routinely encounter high-throughput datasets in complex biological and environment research. Most Ba…
Posterior contraction in Gaussian process regression using Wasserstein approximations
Anirban Bhattacharya, Debdeep Pati
We study posterior rates of contraction in Gaussian process regression with unbounded covariate domain. Our argument relies on developing a Gaussian approximation to the posterior…