Pierre Pudlo

Statistics and Probability · 2011–2014

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 35 citations into it; #2,241 of 12,932 by trust here, #2,023 by citations
• Artificial Intelligence — 29 citations into it; #6,957 of 35,345 by trust here, #11,072 by citations
• Genetics — 12 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Pierre Pudlo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. MARK A. Beaumont
2. Jean-Marie Cornuet
3. Håvard Rue
4. Christian P. Robert
5. Klaus Nordhausen
6. Donald B. Rubin
7. Paul Fearnhead
8. J. Bronstein
9. Jean-Michel Marin
10. Tina Toni

Who trusts Pierre Pudlo overall

1. Michael U Gutmann
2. Balaji Lakshminarayanan
3. Edward Meeds
4. Joeri Hermans
5. Gilles Louppe
6. Yura N. Perov
7. Richard Geoffrey Everitt
8. Dustin Tran
9. Shakir Mohamed
10. Matthew M. Graham

Papers from Pierre Pudlo's perspective

Ordered by how strongly the researchers Pierre Pudlo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Markov chain Monte Carlo without likelihoods
2. Sequential Monte Carlo without likelihoods
3. Sequential Monte Carlo samplers
4. Constructing summary statistics for approximate Bayesian computation: semi‐automatic approximate Bayesian computation
5. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
6. Sampling-Based Approaches to Calculating Marginal Densities
7. Statistical Applications in Genetics and Molecular Biology Approximately Sufficient Statistics and Bayesian Computation
8. Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
9. Joint determination of topology, divergence time, and immigration in population trees
10. Approximate Bayesian Computation in Evolution and Ecology

Their papers

• Approximate Bayesian computational methods (2011) — 915 citations
• DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data (2014) — 998 citations
• Reliable ABC model choice via random forests (2014) — 368 citations