Seock-Ho Kim

Statistics and Probability · 2004–2009

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it; #10,133 of 12,932 by trust here, #9,233 by citations
• Management Science and Operations Research — 10 citations into it; #8,945 of 11,946 by trust here, #7,638 by citations
• Computer Networks and Communications — 8 citations into it

Whom Seock-Ho Kim trusts overall

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

1. Allan S. Cohen
2. D. Bolt
3. Hirotugu Akaike
4. John K. Kruschke
5. Sujit Kumar Sahu
6. Alan E. Gelfand
7. Andrew Gelman
8. S. Geisser
9. Taehoon Kang

Who trusts Seock-Ho Kim overall

1. Ming Ming Chiu
2. Youngsuk Suh
3. Kun Liu
4. Thomas D. Fletcher
5. Akihito Kamata
6. J. Patrick Meyer
7. Feiming Li
8. John P. Lalor
9. Caterina Primi
10. Kenneth Benoit

Papers from Seock-Ho Kim's perspective

Ordered by how strongly the researchers Seock-Ho Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Estimating the Dimension of a Model
2. Bayesian Model Choice: Asymptotics and Exact Calculations
3. A Predictive Approach to Model Selection
4. Bayesian Estimation and Model Choice in Item Response Models
5. Bayesian data analysis.
6. A new look at the statistical model identification
7. Bayesian measures of model complexity and fit
8. A Mixture Model Analysis of Differential Item Functioning
9. The Role of Extended Time and Item Content on a High–Stakes Mathematics Test
10. Applied Bayesian Modelling

Their papers

• Item Response Theory : Parameter Estimation Techniques, Second Edition (2004) — 471 citations
• Model Selection Methods for Mixture Dichotomous IRT Models (2009) — 168 citations
• DIF Detection and Effect Size Measures for Polytomously Scored Items (2007) — 95 citations