Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease

DOI10.1214/18-AOAS1141zbMath1405.62177arXiv1608.06769MaRDI QIDQ1621055

Forrest W. Crawford, Marc A. Suchard, Lam Si Tung Ho

Publication date: 15 November 2018

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1608.06769

zbMATH Keywords

transition probabilitiesepidemic modelinfectious diseaseEbolamultivariate birth process

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)

Related Items (4)

Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks ⋮ Direct statistical inference for finite Markov jump processes via the matrix exponential ⋮ Posterior concentration and fast convergence rates for generalized Bayesian learning ⋮ SPADE4: sparsity and delay embedding based forecasting of epidemics

Uses Software

• Expokit
• R
• pomp
• abc

Cites Work

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