3 papers
stat.ML2025
Neural Variational Cut Posteriors without Upstream Data
Jiafang Song, Sandipan Pramanik, Abhirup Datta
In many applications, one must propagate parameter uncertainty from an earlier (upstream) analysis, available as samples, to subsequent (downstream) analyses without feedback. This…
stat.ME2025
Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
Sandipan Pramanik, Raymond Robertson, Yang Ni
This article aims to model international trade relationships among 29 countries in the apparel industry between 1994 and 2013. Bilateral trade flows can be represented as a directe…
stat.ME2023
Modeling Structure and Country-specific Heterogeneity in Misclassification Matrices of Verbal Autopsy-based Cause of Death Classifiers
Sandipan Pramanik, Scott Zeger, Dianna Blau +1
Verbal autopsy (VA) algorithms are routinely used to determine individual-level causes of death (COD) in many low-and-middle-income countries, which are then aggregated to derive p…