Showing stat.COShow all
2 papers · 1 filter
stat.CO2025
Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling
Riddhi Pratim Ghosh, Ian Barnett
This paper investigates two prominent probabilistic neural modeling paradigms: Bayesian Neural Networks (BNNs) and Mixture Density Networks (MDNs) for uncertainty-aware nonlinear r…
stat.CO2022
Adaptive Bayesian Variable Clustering via Structural Learning of Breast Cancer Data
Riddhi Pratim Ghosh, Arnab Kumar Maity, Mohsen Pourahmadi +1
Clustering of proteins is of interest in cancer cell biology. This article proposes a hierarchical Bayesian model for protein (variable) clustering hinging on correlation structure…