M. Titterington
Artificial Intelligence · 2006
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #14,337 of 35,345 by trust here, #17,110 by citations
- Statistics and Probability — 6 citations into it; #5,207 of 12,932 by trust here, #4,132 by citations
Whom M. Titterington trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Titterington overall
Papers from M. Titterington's perspective
Ordered by how strongly the researchers M. Titterington trusts endorse each paper. Same corpus, a different order for every researcher.
- Computational and Inferential Difficulties with Mixture Posterior Distributions
- Counting degrees of freedom in hierarchical and other richly-parameterised models
- Bayesian measures of model complexity and fit
- Bayesian Modelling and Inference on Mixtures of Distributions
- Monte Carlo Statistical Methods
- Statistical Analysis With Missing Data
- Dealing with label switching in mixture models
- The EM algorithm and extensions
- Estimating the Dimension of a Model
- Information Theory and an Extension of the Maximum Likelihood Principle
Their papers
- Deviance information criteria for missing data models (2006) — 943 citations