Koen J. van Benthem
Statistics and Probability · 2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 28 citations into it
- Artificial Intelligence — 20 citations into it
- Nature and Landscape Conservation — 10 citations into it
- Economics and Econometrics — 5 citations into it
Whom Koen J. van Benthem trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Benjamin M. Bolker
- J. Hadfield
- Paul-Christian Burkner
- Håvard Rue
- Achim Zeileis
- A. Huang
- X. Harrison
- Douglas M. Bates
Papers from Koen J. van Benthem's perspective
Ordered by how strongly the researchers Koen J. van Benthem trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- R: A language and environment for statistical computing.
- Fitting Linear Mixed-Effects Models Using lme4
- MCMC methods for multi-response generalized linear mixed models
- Zero-inflated Poisson regression, with an application to defects in manufacturing
- Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
- A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution
- Mixed Effects Models and Extensions in Ecology with R
- A Flexible Regression Model for Count Data
Their papers
- glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling (2017) — 10,195 citations
- Modeling zero-inflated count data with glmmTMB (2017) — 360 citations