Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models
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Publication:667671
DOI10.1214/17-STS618zbMath1407.62406OpenAlexW2626930952MaRDI QIDQ667671
Publication date: 1 March 2019
Published in: Statistical Science (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ss/1517562021
Bayesian inferenceemulationapproximate Bayesian computationhistory matchinginfectious disease models
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical epidemiology (92C60)
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Cites Work
- Unnamed Item
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- The pseudo-marginal approach for efficient Monte Carlo computations
- Galaxy formation: Bayesian history matching for the observable Universe
- Bayesian indirect inference using a parametric auxiliary model
- Exact and approximate Bayesian inference for low integer-valued time series models with intractable likelihoods
- On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
- Iterated filtering
- An adaptive sequential Monte Carlo method for approximate Bayesian computation
- Approximate Bayesian computational methods
- Considerate approaches to constructing summary statistics for ABC model selection
- Efficient likelihood-free Bayesian computation for household epidemics
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Reified Bayesian modelling and inference for physical systems
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Simulation-based Bayesian inference for epidemic models
- On optimal selection of summary statistics for approximate Bayesian computation
- Adaptive approximate Bayesian computation for complex models
- On the efficiency of pseudo-marginal random walk Metropolis algorithms
- The use of a single pseudo-sample in approximate Bayesian computation
- A tutorial introduction to Bayesian inference for stochastic epidemic models using approximate Bayesian computation
- Galaxy formation: a Bayesian uncertainty analysis
- Approximately Sufficient Statistics and Bayesian Computation
- Inference for dynamic and latent variable models via iterated, perturbed Bayes maps
- Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation
- Particle Markov Chain Monte Carlo for Efficient Numerical Simulation
- Encompassing and indirect inference
- Adaptive approximate Bayesian computation
- Analyses of Infectious Disease Data from Household Outbreaks by Markov Chain Monte Carlo Methods
- Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation
- Efficient History Matching of a High Dimensional Individual-Based HIV Transmission Model
- Bayesian Emulation and Calibration of a Stochastic Computer Model of Mitochondrial DNA Deletions in Substantia Nigra Neurons
- Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
- Inference for Stereological Extremes
- Sequential Monte Carlo without likelihoods
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