15 citations · 21 across the 7 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
math.ST2023
Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Matérn and Confluent Hypergeometric Covariance Functions
Xiao Fang, Anindya Bhadra
In nonparameteric Bayesian approaches, Gaussian stochastic processes can serve as priors on real-valued function spaces. Existing literature on the posterior convergence rates unde…
stat.ME2023
Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay
Drew Yarger, Anindya Bhadra
Spatially-indexed multivariate data appear frequently in geostatistics and related fields including oceanography and environmental science. To take full advantage of this data stru…
stat.ME2023
Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks
Tsung-Hung Yao, Yang Ni, Anindya Bhadra +2
Graphical models are powerful tools to investigate complex dependency structures in high-throughput datasets. However, most existing graphical models make one of the two canonical…