Jessica Hwang

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it; #3,250 of 12,932 by trust here, #3,893 by citations
• Artificial Intelligence — 9 citations into it; #9,463 of 35,345 by trust here, #16,471 by citations

Whom Jessica Hwang trusts overall

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

1. Sumio Watanabe
2. Tilmann Gneiting
3. A. van der Linde
4. Donald B. Rubin
5. Murray Aitkin
6. Alan E. Gelfand
7. Hirotogu Akaike
8. K. Burnham
9. Aki Vehtari
10. David J. Spiegelhalter

Who trusts Jessica Hwang overall

1. Aki Vehtari
2. Andrew Gelman
3. Yuling Yao
4. Yong Luo
5. Mevin B. Hooten
6. Jia Liu
7. M. Nicholl
8. C. Bayes
9. J. Guillochon
10. P. de Valpine

Papers from Jessica Hwang's perspective

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

1. Estimating the Dimension of a Model
2. Information Theory and an Extension of the Maximum Likelihood Principle
3. Bayesian measures of model complexity and fit
4. Expected Information as Expected Utility
5. Bayesian Model Choice: Asymptotics and Exact Calculations
6. Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
7. Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
8. BAYESIAN THEORY
9. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors
10. Deviance information criteria for missing data models

Their papers

• Understanding predictive information criteria for Bayesian models (2013) — 2,120 citations