Sandip Sinharay

Statistics and Probability · 2002–2017

A researcher in the Science corpus: 10 papers; trusts 33 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 34 citations into it; #3,597 of 12,932 by trust here, #3,801 by citations
• Management Science and Operations Research — 32 citations into it; #1,424 of 11,946 by trust here, #4,267 by citations
• Computer Networks and Communications — 16 citations into it; #1,590 of 9,886 by trust here, #5,518 by citations
• Artificial Intelligence — 9 citations into it; #33,353 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Applied Mathematics — 5 citations into it

Whom Sandip Sinharay trusts overall

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

1. Cees A. W. Glas
2. A. Béguin
3. Donald B. Rubin
4. S. Haberman
5. Tom A. B. Snijders
6. W. D. Linden
7. D. R. Cox
8. Huaiyu Zhu
9. P. Stephen
10. Andrew Gelman

Who trusts Sandip Sinharay overall

1. Louis A. Roussos
2. Andre A. Rupp
3. M. Miller
4. Christine E. DeMars
5. Louis V. DiBello
6. Li Cai
7. Jonathan Templin
8. S. Haberman
9. R. van de Schoot
10. S. Reise

Papers from Sandip Sinharay's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Inference from Iterative Simulation Using Multiple Sequences
3. A lognormal model for response times on test items
4. A Person Fit Test For Irt Models For Polytomous Items
5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
6. INFERENCE AND MISSING DATA
7. Asymptotic null distribution of person fit statistics with estimated person parameter
8. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
9. Bayesian data analysis.
10. A Multidimensional Item Response Modeling Approach for Improving Subscale Proficiency Estimation and Classification

Their papers

• Posterior predictive model checking in hierarchical models (2003) — 122 citations
• Assessing Fit of Unidimensional Item Response Theory Models Using a Bayesian Approach. (2005) — 130 citations
• Experiences With Markov Chain Monte Carlo Convergence Assessment in Two Psychometric Examples (2004) — 85 citations
• Stochastic Approximation Methods for Latent Regression Item Response Models (2010) — 49 citations
• Subscores Based on Classical Test Theory: To Report or Not to Report (2007) — 93 citations
• Detection of Item Preknowledge Using Likelihood Ratio Test and Score Test (2017) — 66 citations
• An NCME Instructional Module on Subscores (2011) — 90 citations
• How Often Do Subscores Have Added Value? Results from Operational and Simulated Data (2010) — 134 citations
• Reporting of Subscores Using Multidimensional Item Response Theory (2010) — 97 citations
• On the Sensitivity of Bayes Factors to the Prior Distributions (2002) — 96 citations