Wagner Hugo Bonat
Statistics and Probability · 2015–2016
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 32 citations into it; #6,684 of 12,932 by trust here, #11,487 by citations
- Artificial Intelligence — 17 citations into it
- Economics and Econometrics — 9 citations into it
- Management Science and Operations Research — 7 citations into it
- Environmental Engineering — 6 citations into it
Whom Wagner Hugo Bonat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bent Jørgensen
- Mohsen Pourahmadi
- Eric R. Ziegel
- John A. Nelder
- J. Hadfield
- Simo Särkkä
- Alan Y. Chiang
- Youngjo Lee
- Jianxin Pan
- Finn Lindgren
Who trusts Wagner Hugo Bonat overall
Papers from Wagner Hugo Bonat's perspective
Ordered by how strongly the researchers Wagner Hugo Bonat trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
- Gaussian Markov Random Fields: Theory and Applications
- On modelling mean‐covariance structures in longitudinal studies
- Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling (ASTIN Bulletin: The Journal of the International Actuarial Association)
- Model‐based geostatistics
- Bayesian Spatial Modelling with R-INLA
- A Flexible Regression Model for Count Data
- MCMC methods for multi-response generalized linear mixed models
- Regression Models for Count Data in R
Their papers
- Flexible Tweedie regression models for continuous data (2016) — 67 citations
- Multivariate covariance generalized linear models (2015) — 88 citations
- Extended Poisson–Tweedie: Properties and regression models for count data (2016) — 80 citations