Bayesian essentials with R

por Marin, Jean-Michel, Robert, Christian P
Publicado 2014

Bayesian core a practical approach to computational bayesian statistics

por Marin, Jean-Michel, Robert, Christian P
Publicado 2007

Probing instructions for expression regulation in gene nucleotide compositions

por Bessière, Chloé, Taha, May, Petitprez, Florent, Vandel, Jimmy, Marin, Jean-Michel, Bréhélin, Laurent, Lèbre, Sophie, Lecellier, Charles-Henri
Publicado 2018

Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

por Collin, François‐David, Durif, Ghislain, Raynal, Louis, Lombaert, Eric, Gautier, Mathieu, Vitalis, Renaud, Marin, Jean‐Michel, Estoup, Arnaud
Publicado 2021

Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation

por Cornuet, Jean-Marie, Santos, Filipe, Beaumont, Mark A., Robert, Christian P., Marin, Jean-Michel, Balding, David J., Guillemaud, Thomas, Estoup, Arnaud
Publicado 2008

Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest

por Fraimout, Antoine, Debat, Vincent, Fellous, Simon, Hufbauer, Ruth A., Foucaud, Julien, Pudlo, Pierre, Marin, Jean-Michel, Price, Donald K., Cattel, Julien, Chen, Xiao, Deprá, Marindia, François Duyck, Pierre, Guedot, Christelle, Kenis, Marc, Kimura, Masahito T., Loeb, Gregory, Loiseau, Anne, Martinez-Sañudo, Isabel, Pascual, Marta, Polihronakis Richmond, Maxi, Shearer, Peter, Singh, Nadia, Tamura, Koichiro, Xuéreb, Anne, Zhang, Jinping, Estoup, Arnaud
Publicado 2017