Matthias von Davier

Statistics and Probability · 2003–2014

A researcher in the Science corpus: 13 papers; trusts 29 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 35 citations into it; #4,958 of 12,932 by trust here, #6,080 by citations
• Management Science and Operations Research — 23 citations into it; #3,541 of 11,946 by trust here, #4,267 by citations
• Artificial Intelligence — 14 citations into it
• Computer Networks and Communications — 11 citations into it; #3,752 of 9,886 by trust here, #4,757 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Experimental and Cognitive Psychology — 6 citations into it
• Developmental and Educational Psychology — 5 citations into it

Whom Matthias von Davier trusts overall

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

1. John K. Kruschke
2. Hirotugu Akaike
3. Arthur P. Dempster
4. Jeroen K. Vermunt
5. Jimmy de la Torre
6. Bernard Delyon
7. A. A. Davier
8. Donald B. Rubin
9. S. Haberman
10. Robert E. Ployhart

Who trusts Matthias von Davier overall

1. M. Oliveri
2. Li Cai
3. Sun-Joo Cho
4. Annette M. Maij-de Meij
5. Allan S. Cohen
6. Jia He
7. H. Kelderman
8. S. Pohl
9. Diana Boer
10. Yajuan Si

Papers from Matthias von Davier's perspective

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

1. Estimating the Dimension of a Model
2. INFERENCE AND MISSING DATA
3. Analysis of Incomplete Multivariate Data (Technometrics)
4. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
5. Categorical Data Analysis
6. A new look at the statistical model identification
7. Models for Discrete Longitudinal Data
8. Multivariate Statistical Modelling Based on Generalized Linear Models (Technometrics)
9. Information Theory and an Extension of the Maximum Likelihood Principle
10. Missing data

Their papers

• Stochastic Approximation Methods for Latent Regression Item Response Models (2010) — 49 citations
• COMPARISON OF MULTIDIMENSIONAL ITEM RESPONSE MODELS: MULTIVARIATE NORMAL ABILITY DISTRIBUTIONS VERSUS MULTIVARIATE POLYTOMOUS ABILITY DISTRIBUTIONS (2008) — 75 citations
• PARTIALLY OBSERVED MIXTURES OF IRT MODELS: AN EXTENSION OF THE GENERALIZED PARTIAL CREDIT MODEL (2003) — 56 citations
• A UNIFIED APPROACH TO IRT SCALE LINKING AND SCALE TRANSFORMATIONS (2004) — 73 citations
• Modeling Nonignorable Missing Data with Item Response Theory (IRT). Research Report. ETS RR-10-11. (2010) — 120 citations
• The Log‐Linear Cognitive Diagnostic Model (LCDM) as a Special Case of the General Diagnostic Model (GDM) (2014) — 60 citations
• The DINA model as a constrained general diagnostic model: Two variants of a model equivalency. (2014) — 49 citations
• Handbook of International Large-Scale Assessment : Background, Technical Issues, and Methods of Data Analysis (2013) — 213 citations
• Investigation of model fit and score scale comparability in international assessments (2011) — 112 citations
• Measuring Growth in a Longitudinal Large-Scale Assessment with a General Latent Variable Model (2011) — 84 citations
• International Large-Scale Assessment Data (2010) — 278 citations
• Mixture-Distribution and HYBRID Rasch Models (2007) — 49 citations
• Partially Observed Mixtures of IRT Models: An Extension of the Generalized Partial-Credit Model (2003) — 66 citations