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stat.ME2026
Non-centred Bayesian inference for discrete-valued state-transition models: the Rippler algorithm
James Neill, Lloyd A. C. Chapman, Chris Jewell
Stochastic state-transition models of infectious disease transmission can be used to deduce relevant drivers of transmission when fitted to data using statistically principled meth…
stat.ME2025
Non-centering for discrete-valued state transition models: an application to ESBL-producing E. coli transmission in Malawi
James Neill, Rebecca Lester, Winnie Bakali +4
Infectious disease transmission is often modelled by discrete-valued stochastic state-transition processes. Due to a lack of complete data, Bayesian inference for these models ofte…