Michel Meulders

Probabilistic & Bayesian Methods · 2000–2005

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 7 citations into it

Whom Michel Meulders trusts overall

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

1. Donald B. Rubin
2. Akihito Kamata
3. Andrew Gelman
4. Stuart Geman

Who trusts Michel Meulders overall

1. W. Van den Noortgate
2. P. De Boeck

Papers from Michel Meulders's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
3. Inference from Iterative Simulation Using Multiple Sequences
4. Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
5. A Predictive Approach to Model Selection
6. Present position and potential developments: some personal views
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
8. Assessment and Propagation of Model Uncertainty
9. Multilevel analysis : an introduction to basic and advanced multilevel modeling
10. Missing data

Their papers

• Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data (2005) — 131 citations
• A Hierarchical IRT Model for Criterion-Referenced Measurement (2000) — 141 citations
• Cross-Classification Multilevel Logistic Models in Psychometrics (2003) — 148 citations