Bayesian analysis of the COVID-19 pandemic using a Poisson process with change-points

DOI10.1515/mcma-2024-2020MaRDI QIDQ6654644

Masoud Majidizadeh

Publication date: 20 December 2024

Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)

zbMATH Keywords

Poisson processreversible jump Markov chain Monte Carlointensity functionmultiple change-pointsCOVID-19

Mathematics Subject Classification ID

Bayesian inference (62F15)

Cites Work

• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Asymptotic inference for stochastic processes
• Time series analysis of COVID-19 infection curve: a change-point perspective
• Continuous-time estimation of A change-point in a poisson process
• Hierarchical Bayesian Analysis of Changepoint Problems
• Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model
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