2 papers
stat.AP2026
Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
Patrick Aschermayr, Konstantinos Kalogeropoulos, Nikolaos Demiris
The COVID-19 pandemic has been characterised by multiple waves of transmission driven by interventions and emerging variants, challenging epidemic models that assume gradually evol…
stat.AP2023
Sequential Bayesian Learning for Hidden Semi-Markov Models
Patrick Aschermayr, Konstantinos Kalogeropoulos
In this paper, we explore the class of the Hidden Semi-Markov Model (HSMM), a flexible extension of the popular Hidden Markov Model (HMM) that allows the underlying stochastic proc…