Li Cai

Statistics and Probability · with Hernández · 2010–2014

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 32 citations into it; #12,773 of 12,932 by trust here, #11,487 by citations
• Management Science and Operations Research — 22 citations into it; #2,663 of 11,946 by trust here, #5,548 by citations
• Computer Networks and Communications — 14 citations into it; #2,141 of 9,886 by trust here, #5,133 by citations
• Artificial Intelligence — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Li Cai trusts overall

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

1. Albert Maydeu-Olivares
2. Gareth O. Roberts
3. Christine E. DeMars
4. R. Fisher
5. Karl G. Jöreskog
6. Donald B. Rubin
7. Harry Joe
8. Greg C. G. Wei
9. A. Béguin
10. S. Schilling

Who trusts Li Cai overall

1. S. Reise
2. R. Chalmers
3. Dennis A. Revicki
4. P. Sischka
5. Matthias von Davier
6. S. Pohl
7. Andreia P. Costa
8. Louis Tay
9. Yunxiao Chen
10. Georges Steffgen

Papers from Li Cai's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
4. Adaptive Algorithms and Stochastic Approximations
5. Optimal scaling for various Metropolis-Hastings algorithms
6. A Stochastic Approximation Method
7. Estimating the Dimension of a Model
8. Generalized, Linear, and Mixed Models (Technometrics)
9. Markov Chain Monte Carlo in Practice
10. Item response theory for psychologists

Their papers

• Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis (2010) — 250 citations
• The Langer-Improved Wald Test for DIF Testing With Multiple Groups (2013) — 155 citations
• A New Statistic for Evaluating Item Response Theory Models for Ordinal Data. CRESST Report 839. (2014) — 91 citations
• Comparing the Fit of Item Response Theory and Factor Analysis Models (2011) — 79 citations
• High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm (2010) — 187 citations