3 papers
stat.AP2026
Constructing Contact and Connectivity Matrices for Infectious Disease Modelling
Xiahui Li, Dongni Zhang, Neha Bansal +12
Contact (or mixing, or more generally connectivity) matrices are a fundamental component of modelling and inference for infectious disease epidemiology. Their structure and paramet…
stat.CO2026
gemlib.mcmc: composable kernels for Metropolis-within-Gibbs sampling schemes
Alin Morariu, Jess Bridgen, Chris Jewell
State-transition models are essential across epidemiology and ecology, but statistical inference remains challenging owing to high-dimensional latent state spaces, temporal depende…
stat.CO2025
gemlib: Probabilistic programming for epidemic models
Alin Morariu, Jess Bridgen, Chris Jewell
gemlib is a Python library for defining, simulating, and calibrating Markov state-transition models. Stochastic models are often computationally intensive, making them impractical…