AbcRanger, A fast and scalable random forest library for ABC model choice and parameter estimation

Conference poster

F.-D. Collin, A Estoup, Jean-Michel Marin and Louis Raynal

JCAD 2019 (Toulouse, France, 09/10/2019–11/10/2019)

Abstract

Approximate Bayesian Computation

Random Forests

Model Choice

Parameter Estimation

C++

Python

R

url

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Title: AbcRanger, A fast and scalable random forest library for ABC model choice and parameter estimation
Creators - without role: F.-D. Collin - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAG
A Estoup - Centre de Biologie pour la Gestion des Populations
Jean-Michel Marin - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAG
Louis Raynal - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAG
Conference: JCAD 2019 (Toulouse, France, 09/10/2019–11/10/2019)
Identifiers: 99107368009311
Academic Unit: Institut Montpelliérain Alexander Grothendieck - IMAG
Language: English
Resource Type: Conference poster
Local Fields: hal-04207225