> Academic Profiles > Louis Raynal

Fellow or Post Doc

Louis Raynal

Postdoctoral Fellow

Biostatistics

llcraynal@hsph.harvard.edu

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Catalyst Profile

Bibliography

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

Collin FD, Durif G, Raynal L, Lombaert E, Gautier M, Vitalis R, Marin JM, Estoup A.

Mol Ecol Resour. 2021 May 05. PMID: 33950563

Policies for Easing COVID-19 Pandemic Travel Restrictions.

Le TM, Raynal L, Talbot O, Hambridge H, Drovandi C, Mira A, Mengersen K, Onnela JP.

medRxiv. 2021 Apr 20. PMID: 33907768

A young age of subspecific divergence in the desert locust inferred by ABC random forest.

Chapuis MP, Raynal L, Plantamp C, Meynard CN, Blondin L, Marin JM, Estoup A.

Mol Ecol. 2020 12. 29(23):4542-4558. PMID: 33000872

ABC random forests for Bayesian parameter inference.

Raynal L, Marin JM, Pudlo P, Ribatet M, Robert CP, Estoup A.

Bioinformatics. 2019 05 15. 35(10):1720-1728. PMID: 30321307

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