Thomas Brendan Murphy

Artificial Intelligence · 2006–2016

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #12,141 of 35,345 by trust here, #17,412 by citations
• Statistics and Probability — 23 citations into it; #6,755 of 12,932 by trust here, #12,077 by citations
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Thomas Brendan Murphy trusts overall

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

1. Geoffrey J. McLachlan
2. Chris Fraley
3. Adrian E. Raftery
4. P. Deb
5. David R. Hunter
6. Robert E. Kass
7. Eric R. Ziegel
8. Radford M. Neal
9. Arthur P. Dempster
10. Kenneth Train

Who trusts Thomas Brendan Murphy overall

1. Sylvain Calinon
2. Isobel Claire Gormley
3. Charles Bouveyron
4. Seniha Esen Yüksel
5. D. Toher
6. Paul David McNicholas
7. Camille Brunet
8. Sylvia Frühwirth-Schnatter

Papers from Thomas Brendan Murphy's perspective

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

1. Estimating the Dimension of a Model
2. Mixture models : inference and applications to clustering
3. The Elements of Statistical Learning
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. The EM algorithm and extensions
6. Bayes factors
7. Generalized Linear Models
8. Adaptive Mixtures of Local Experts
9. Model-Based Clustering, Discriminant Analysis, and Density Estimation
10. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers

• A mixture of experts model for rank data with applications in election studies (2008) — 129 citations
• Using unlabelled data to update classification rules with applications in food authenticity studies (2006) — 116 citations
• A comparison of model-based and regression classification techniques applied to near infrared spectroscopic data in food authentication studies (2007) — 69 citations
• mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models (2016) — 2,399 citations
• Parsimonious Gaussian mixture models (2008) — 353 citations