Lorenzo Rimella

Hidden Markov Neural Networks

2025 · Entropy

We define an evolving in-time Bayesian neural network called a Hidden Markov Neural Network, which addresses the crucial challenge in time-series forecasting and continual learning: striking a balance between adapting to new data and appropriately …

Disclosure risk assessment with Bayesian non-parametric hierarchical modelling

2025 · Statistics and Computing

Abstract Micro and survey datasets often contain private information about individuals, like their health status, income, or political preferences. Previous studies have shown that, even after data anonymization, a malicious intruder could still be able …