Bayesian workflow for disease transmission modeling in Stan

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Bayesian workflow for disease transmission modeling in Stan

23 May 2020

Léo Grinsztajn

Elizaveta Semenova

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Papers citing "Bayesian workflow for disease transmission modeling in Stan"

7 / 7 papers shown

Title
For how many iterations should we run Markov chain Monte Carlo? C. Margossian Andrew Gelman 58 7 0 05 Nov 2023
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling Elizaveta Semenova Prakhar Verma Max Cairney-Leeming Arno Solin Samir Bhatt Seth Flaxman BDL 74 4 0 09 Apr 2023
Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19 Lampros Bouranis N. Demiris K. Kalogeropoulos I. Ntzoufras 66 4 0 28 Nov 2022
Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner UD 58 10 0 13 Oct 2022
Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes Shuhang Tan Axel Gandy Swapnil Mishra Samir Bhatt Seth Flaxman H. Juliette T. Unwin J. Ish-Horowicz 103 9 0 24 Oct 2021
Expectation Programming: Adapting Probabilistic Programming Systems to Estimate Expectations Efficiently Tim Reichelt Adam Goliñski C.-H. Luke Ong Tom Rainforth TPM 60 0 0 09 Jun 2021
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 134 68 0 23 Jul 2020