Michael D. Perlman

Probabilistic & Bayesian Methods · 1997–2009

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 7 citations into it

Whom Michael D. Perlman trusts overall

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

1. Graham J. Wills
2. David Madigan

Who trusts Michael D. Perlman overall

1. Jan Peters
2. Peter Buhlmann
3. Jiji Zhang
4. Mathias Drton
5. Kayvan Sadeghi
6. Alain Hauser
7. Rogier A. Kievit
8. Judea Pearl
9. Steffen L. Lauritzen
10. Yangbo He

Papers from Michael D. Perlman's perspective

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

1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
2. Bayesian Graphical Models for Discrete Data
3. Directed Cyclic Graphical Representations of Feedback Models
4. Causation, Prediction, and Search
5. Causal inference and causal explanation with background knowledge
6. Toward Normative Expert Systems: Part I The Pathfinder Project
7. Bayes factors
8. Introduction to Graphical Modelling (Technometrics)
9. A characterization of Markov equivalence classes for acyclic digraphs
10. Markov properties of nonrecursive causal models

Their papers

• How Likely Is Simpson’s Paradox? (2009) — 69 citations
• Alternative Markov Properties for Chain Graphs (2001) — 178 citations
• A characterization of Markov equivalence classes for acyclic digraphs (1997)