Bayesian workflow for disease transmission modeling in Stan
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Publication:6628334
DOI10.1002/SIM.9164zbMATH Open1546.62277MaRDI QIDQ6628334
Léo Grinsztajn, Charles C. Margossian, E. P. Semenova, Julien Riou
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- General state space Markov chains and MCMC algorithms
- Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion)
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Evaluating Derivatives
- Science and Statistics
- Approximate leave-future-out cross-validation for Bayesian time series models
- Bayesian analysis of tests with unknown specificity and sensitivity
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