---
categories: [literature note, ]
title: Note de lecture de *Approximate Bayesian Computation in Evolution and Ecology* de
 Mark A. Beaumont.
bibliography: ../these_ref.bib
---

::: {.callout-note title="Synthèse"}

**Contribution**::

**Related**:: [[@csilleryApproximateBayesianComputation2010]], [[@csilleryApproximateBayesianComputation]] 

:::

::: {.callout-note title="Markdown"}

**FirstAuthor**:: Beaumont, Mark A.  

**Title**:: Approximate Bayesian Computation in Evolution and Ecology  
**Year**:: 2010   
**Citekey**:: beaumontApproximateBayesianComputation2010  
**itemType**:: journalArticle  
**Journal**:: *Annual Review of Ecology, Evolution, and Systematics*

**Volume**:: 41  
**Issue**:: 1   
**Pages**:: 379-406  
**DOI**:: 10.1146/annurev-ecolsys-102209-144621    
:::

::: {.callout-note title="Pièces-jointes"} 

 - [PDF](file:///home/louis/snap/zotero-snap/common/Zotero/storage/TEJMMB4Y/Beaumont%20-%202010%20-%20Approximate%20Bayesian%20Computation%20in%20Evolution%20and%20Ecology.pdf).
:::

::: {.callout-note title="Abstract"}

In the past 10 years a statistical technique, approximate Bayesian computation (ABC), has been developed that can be used to infer parameters and choose between models in the complicated scenarios that are often considered in the environmental sciences. For example, based on gene sequence and microsatellite data, the method has been used to choose between competing models of human demographic history as well as to infer growth rates, times of divergence, and other parameters. The method ﬁts naturally in the Bayesian inferential framework, and a brief overview is given of the key concepts. Three main approaches to ABC have been developed, and these are described and compared. Although the method arose in population genetics, ABC is increasingly used in other ﬁelds, including epidemiology, systems biology, ecology, and agent-based modeling, and many of these applications are brieﬂy described..

::::

# Prise de notes

%% begin user_notes %%

%% end user_notes %%

# Annotations importées%% begin annotations %%

%% end annotations %%

%% Import Date: 2026-05-15T11:31:10.128+02:00 %%
