Adaptive approximate Bayesian computation for complex models
From MaRDI portal
Publication:2259351
DOI10.1007/s00180-013-0428-3zbMath1306.65088arXiv1111.1308OpenAlexW3124497799MaRDI QIDQ2259351
Franck Jabot, Guillaume Deffuant, Maxime Lenormand
Publication date: 3 March 2015
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1111.1308
Related Items (16)
Sequential Monte Carlo with adaptive weights for approximate Bayesian computation ⋮ An approximate likelihood perspective on ABC methods ⋮ Approximate Bayesian computation for finite mixture models ⋮ ABC of the future ⋮ Efficient importance sampling in low dimensions using affine arithmetic ⋮ Gaussian process modelling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria ⋮ Approximate Bayesian computation for Lorenz curves from grouped data ⋮ Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models ⋮ Efficient acquisition rules for model-based approximate Bayesian computation ⋮ Approximate Bayesian computational methods for the inference of unknown parameters ⋮ The influence of methylation status on a stochastic model of MGMT dynamics in glioblastoma: phenotypic selection can occur with and without a downshift in promoter methylation status ⋮ Improved approximate Bayesian computation methods via empirical likelihood ⋮ A simulated annealing approach to approximate Bayes computations ⋮ Distance-learning for approximate Bayesian computation to model a volcanic eruption ⋮ Accelerating inference for diffusions observed with measurement error and large sample sizes using approximate Bayesian computation ⋮ Adaptive approximate Bayesian computation tolerance selection
Uses Software
Cites Work
- An adaptive sequential Monte Carlo method for approximate Bayesian computation
- Approximately Sufficient Statistics and Bayesian Computation
- Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation
- Sequential Monte Carlo Samplers
- Adaptive approximate Bayesian computation
- The Asymptotic Efficiency of Simulation Estimators
- Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation
- Sequential Monte Carlo without likelihoods
This page was built for publication: Adaptive approximate Bayesian computation for complex models