Anna Pajor

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #18,577 of 35,345 by trust here, #34,943 by citations
• Statistics and Probability — 9 citations into it; #6,735 of 12,932 by trust here, #12,603 by citations

Whom Anna Pajor trusts overall

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

1. Sylvia Frühwirth-Schnatter
2. Peter J. Green
3. Radford M. Neal
4. Rémi Bardenet
5. Nial Friel
6. Siddhartha Chib
7. Robert E. Kass
8. Gilles Celeux
9. Francesco Bartolucci
10. Adrian E. Raftery

Who trusts Anna Pajor overall

1. H. Steingroever
2. Ruud Wetzels
3. Annette Horstmann
4. Jane Neumann

Papers from Anna Pajor's perspective

Ordered by how strongly the researchers Anna Pajor 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. Marginal Likelihood From the Metropolis–Hastings Output
3. Estimating the Dimension of a Model
4. Annealed importance sampling
5. Bayes factors
6. Computational and Inferential Difficulties with Mixture Posterior Distributions
7. Marginal likelihood estimation via power posteriors
8. Dealing with label switching in mixture models
9. Efficient Bayes factor estimation from the reversible jump output
10. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Their papers

• Estimating the Marginal Likelihood Using the Arithmetic Mean Identity (2017) — 50 citations