Khaleel Al-Harbi

Statistics and Probability · 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 Khaleel Al-Harbi 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 Khaleel Al-Harbi's perspective

Ordered by how strongly the researchers Khaleel Al-Harbi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bayesian data analysis.
2. Inference from Iterative Simulation Using Multiple Sequences
3. Information Theory and an Extension of the Maximum Likelihood Principle
4. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
5. Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
6. A new look at the statistical model identification
7. Estimating the Dimension of a Model
8. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
9. Understanding predictive information criteria for Bayesian models (Statistics and computing)
10. Monte Carlo Sampling Methods Using Markov Chains and Their Applications

Their papers

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