Yong Luo

Statistics and Probability · with Al-Harbi · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it
• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 9 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Yong Luo trusts overall

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

1. Andrew Gelman
2. Hirotugu Akaike
3. Radford M. Neal
4. John K. Kruschke
5. Sumio Watanabe
6. Edward L. Ionides
7. Sujit Kumar Sahu
8. R. Chalmers
9. Aki Vehtari
10. Matthew D. Hoffman

Papers from Yong Luo's perspective

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

1. Estimating the Dimension of a Model
2. Bayesian data analysis.
3. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
4. Sampling-Based Approaches to Calculating Marginal Densities
5. Inference from Iterative Simulation Using Multiple Sequences
6. Information Theory and an Extension of the Maximum Likelihood Principle
7. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
8. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
9. Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
10. A new look at the statistical model identification

Their papers

• Performances of LOO and WAIC as IRT Model Selection Methods (2017) — 59 citations