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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.AP2024
Stable Survival Extrapolation via Transfer Learning
Anastasios Apsemidis, Nikolaos Demiris
The mean survival is the key ingredient of the decision process in several applications, notably in health economic evaluations. It is defined as the area under the complete surviv…
stat.AP2024
Bayesian Evidence Synthesis for Modeling SARS-CoV-2 Transmission
Anastasios Apsemidis, Nikolaos Demiris
The acute phase of the Covid-19 pandemic has made apparent the need for decision support based upon accurate epidemic modeling. This process is substantially hampered by under-repo…