John Skilling

Probabilistic & Bayesian Methods · 1989–2011

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 155 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 11 citations into it; #707 of 1,525 by trust here, #127 by citations

Whom John Skilling trusts overall

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

1. David John Cameron MacKay
2. Andrew Gelman
3. James Gary Propp
4. Anthony OʼHagan

Who trusts John Skilling overall

1. David John Cameron MacKay
2. Will Handley
3. Roberto Trotta
4. Yang Song
5. Andrew R. Liddle
6. Nial Friel
7. Ricky T. Q. Chen
8. M. Hobson
9. Nicolas Chopin
10. Emin Orhan

Papers from John Skilling's perspective

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

1. Exact sampling with coupled Markov chains and applications to statistical mechanics
2. Information Theory, Inference, and Learning Algorithms
3. Hybrid Monte Carlo
4. Statistical Decision Theory and Bayesian Analysis, Second Edition
5. Learning and relearning in Boltzmann machines
6. Estimating the Dimension of a Model
7. Sequential updating of conditional probabilities on directed graphical structures
8. The Eigenvalues of Mega-dimensional Matrices
9. Learning from hints in neural networks
10. Monte Carlo Sampling Methods Using Markov Chains and Their Applications

Their papers

• Nested sampling for general Bayesian computation (2006) — 1,247 citations
• The Eigenvalues of Mega-dimensional Matrices (1989)
• Bayesian Methods for Adaptive Models (2011) — 403 citations
• Probability theory: the logic of science (2005)