Nicolas Rodrigue
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
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Papers from Nicolas Rodrigue's perspective
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- Markov Chain Sampling Methods for Dirichlet Process Mixture Models
- Modelling Heterogeneity With and Without the Dirichlet Process
- A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. (Molecular biology and evolution)
- A phylogenetic mixture model for detecting pattern-heterogeneity in gene sequence or character-state data. (Systematic Biology)
- Gibbs Sampling Methods for Stick-Breaking Priors
- Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences (Nature)
- Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
- Empirical profile mixture models for phylogenetic reconstruction (Bioinform.)
- Evolutionary trees from DNA sequences: A maximum likelihood approach (Journal of Molecular Evolution)
- Estimating the Dimension of a Model