A. Huang
Statistics and Probability · with Wand · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it; #4,327 of 12,932 by trust here, #9,233 by citations
- Artificial Intelligence — 5 citations into it
Whom A. Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric R. Ziegel
- Arak M. Mathai
- Martin S. Ridout
- Galit Shmueli
- Paul Gustafson
- J. Barnard
- Panagiotis Besbeas
- David J. Spiegelhalter
- Matt P. Wand
- Tom Minka
Who trusts A. Huang overall
- Linda S. L. Tan
- Mollie E. Brooks
- Jianye Ching
- Daniel P. Simpson
- David J. Nott
- Kasper Kristensen
- Kok-Kwang Phoon
- Håvard Rue
- Koen J. van Benthem
- Zhiyong Yang
Papers from A. Huang's perspective
Ordered by how strongly the researchers A. Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- Conservative prior distributions for variance parameters in hierarchical models
- Bayesian inference in statistical analysis
- A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution
- Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage
- BUGS - Bayesian inference Using Gibbs Sampling Version 0.50
- A pathway to matrix-variate gamma and normal densities
- A Flexible Regression Model for Count Data
- Mean field variational bayes for elaborate distributions
- Generalized Beta Mixtures of Gaussians
Their papers
- Simple Marginally Noninformative Prior Distributions for Covariance Matrices (2013) — 251 citations
- Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts (2016) — 106 citations