Michael Palczewski

Genetics · 2010

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Palczewski trusts overall

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

  1. Peter Beerli
  2. Michael P. Cummings
  3. Peter J. Green
  4. François Rousset
  5. J. Neigel
  6. Andrew Gelman
  7. Nicolas Lartillot
  8. Nial Friel
  9. Bruce S. Weir
  10. J. K. Pritchard

Papers from Michael Palczewski's perspective

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

  1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
  2. PAUP* Phylogenetic analysis using parsimony (*and other methods) Version 4
  3. Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach (Proceedings of the National Academy of Sciences of the United States of America)
  4. Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
  5. Computing Bayes factors using thermodynamic integration. (Systematic Biology)
  6. Inference of population structure using multilocus genotype data. (Genetics)
  7. Marginal likelihood estimation via power posteriors
  8. INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity (Molecular Ecology)
  9. Estimating F-statistics. (Annual Review of Genetics)
  10. genepop’007: a complete re‐implementation of the genepop software for Windows and Linux (Molecular Ecology Resources)

Their papers