abc

swMATH14871CRANabcMaRDI QIDQ26767

Tools for Approximate Bayesian Computation (ABC)

Blum Michael, Csillery Katalin, Lemaire Louisiane, Francois Olivier

Last update: 19 May 2022

Copyright license: GNU General Public License

Software version identifier: 2.2.1

Source code repository: https://github.com/cran/abc

Related Items (55)

Sequential Monte Carlo with adaptive weights for approximate Bayesian computation ⋮ Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease ⋮ A real-time search strategy for finding urban disease vector infestations ⋮ Rapid simulation of spatial epidemics: a spectral method ⋮ Bayesian analysis of rare events ⋮ Isolation-by-distance-and-time in a stepping-stone model ⋮ Agent-based modelling for Urban Analytics: State of the art and challenges ⋮ An approximate likelihood perspective on ABC methods ⋮ Approximate Bayesian computation for finite mixture models ⋮ Marginally Calibrated Deep Distributional Regression ⋮ Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing ⋮ Random Forest Adjustment for Approximate Bayesian Computation ⋮ Qualitative Robustness in Bayesian Inference ⋮ Goodness of fit for models with intractable likelihood ⋮ Predicting population extinction from early observations of the Lotka-Volterra system ⋮ Bayesian computation methods for inference in stochastic kinetic models ⋮ A practical guide to the probability density approximation (PDA) with improved implementation and error characterization ⋮ Latent likelihood ratio tests for assessing spatial kernels in epidemic models ⋮ Birth/birth-death processes and their computable transition probabilities with biological applications ⋮ A new approach to choose acceptance cutoff for approximate Bayesian computation ⋮ Choosing summary statistics by least angle regression for approximate Bayesian computation ⋮ Approximate Bayesian computation for Lorenz curves from grouped data ⋮ Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models ⋮ Inference of cell-cell interactions from population density characteristics and cell trajectories on static and growing domains ⋮ Estimating von Bertalanffy parameters with individual and environmental variations in growth ⋮ An ancestral process with selection in an ecological community ⋮ A reaction-diffusion system to better comprehend the unlockdown: application of SEIR-type model with diffusion to the spatial spread of COVID-19 in France ⋮ Multilevel approximate Bayesian approaches for flows in highly heterogeneous porous media and their applications ⋮ Bayesian inference of agent-based models: a tool for studying kidney branching morphogenesis ⋮ Approximation of Bayesian predictive \(p\)-values with regression ABC ⋮ Bayesian Model Calibration with Interpolating Polynomials based on Adaptively Weighted Leja Nodes ⋮ Why preferring parametric forecasting to nonparametric methods? ⋮ Approximate Bayesian computational methods for the inference of unknown parameters ⋮ Approximate Bayesian computational methods ⋮ On sequential Monte Carlo, partial rejection control and approximate Bayesian computation ⋮ poems ⋮ Improved approximate Bayesian computation methods via empirical likelihood ⋮ Models of coalition or alliance formation ⋮ Calibration procedures for approximate Bayesian credible sets ⋮ Distance-learning for approximate Bayesian computation to model a volcanic eruption ⋮ Random projections for Bayesian regression ⋮ ecolottery ⋮ Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: an approximate Bayesian computation approach ⋮ Adaptive approximate Bayesian computation tolerance selection ⋮ abctools ⋮ EasyABC ⋮ ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations ⋮ Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models ⋮ Unnamed Item ⋮ Forty Years of Model-Based Phylogeography ⋮ Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors ⋮ Informed sub-sampling MCMC: approximate Bayesian inference for large datasets ⋮ Accounting for symptomatic and asymptomatic in a SEIR-type model of COVID-19 ⋮ Robust inference under r-size-biased sampling without replacement from finite population ⋮ A comparative review of dimension reduction methods in approximate Bayesian computation

This page was built for software: abc