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Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian ComputationRobust demographic inference from genomic and SNP dataCophylogeny reconstruction via an approximate Bayesian computation.A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.Distinguishing low frequency mutations from RT-PCR and sequence errors in viral deep sequencing data.Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data.Quantitative reconstruction of weaning ages in archaeological human populations using bone collagen nitrogen isotope ratios and approximate Bayesian computation.Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets.POPE: post optimization posterior evaluation of likelihood free models.Deep Learning for Population Genetic Inference.Reconstructing contact network parameters from viral phylogenies.Statistical inference for stochastic simulation models--theory and application.Bayesian inference of physiologically meaningful parameters from body sway measurements.Estimating wildlife disease dynamics in complex systems using an Approximate Bayesian Computation framework.Fundamentals and Recent Developments in Approximate Bayesian Computation.Evaluating methods for estimating local effective population size with and without migration.Exact likelihood-free Markov chain Monte Carlo for elliptically contoured distributions.Finding the best resolution for the Kingman-Tajima coalescent: theory and applications.Recommendations for using msBayes to incorporate uncertainty in selecting an abc model prior: a response to oaks et Al.Inferring the mode of colonization of the rapid range expansion of a solitary bee from multilocus DNA sequence variation.Integrative testing of how environments from the past to the present shape genetic structure across landscapes.Bayesian estimation of scaled mutation rate under the coalescent: a sequential Monte Carlo approach.Monte Carlo Strategies for Selecting Parameter Values in Simulation Experiments.Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics.Approximate Bayesian computationAn approximate Bayesian computation approach to parameter estimation in a stochastic stage-structured population model.Estimation of parameters for macroparasite population evolution using approximate bayesian computation.PopABC: a program to infer historical demographic parameters.An adaptive sequential Monte Carlo method for approximate Bayesian computationEvaluation of the introduction history and genetic diversity of a serially introduced fish population in New Zealandabc: an R package for approximate Bayesian computation (ABC)EasyABC: performing efficient approximate Bayesian computation sampling schemes using RRiemann manifold Langevin and Hamiltonian Monte Carlo methodsPre-processing for approximate Bayesian computation in image analysisGraph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimationLikelihood-free parallel tempering
P2860
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P2860
description
article
@en
im Oktober 2009 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в жовтні 2009
@uk
ലേഖനം
@ml
name
Adaptive approximate Bayesian computation
@en
Adaptive approximate Bayesian computation
@nl
type
label
Adaptive approximate Bayesian computation
@en
Adaptive approximate Bayesian computation
@nl
prefLabel
Adaptive approximate Bayesian computation
@en
Adaptive approximate Bayesian computation
@nl
P2093
P2860
P356
P1433
P1476
Adaptive approximate Bayesian computation
@en
P2093
C. P. Robert
J.-M. Cornuet
J.-M. Marin
M. A. Beaumont
P2860
P304
P356
10.1093/BIOMET/ASP052
P407
P577
2009-10-12T00:00:00Z