Anders Nielsen
Nature and Landscape Conservation · The R Journal · 2011–2017
A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 39 citations into it
- Statistics and Probability — 37 citations into it; #6,197 of 12,932 by trust here, #3,513 by citations
- Artificial Intelligence — 24 citations into it; #24,034 of 35,345 by trust here, #15,236 by citations
- Global and Planetary Change — 18 citations into it
- Ecology — 12 citations into it
- Genetics — 5 citations into it
- Management Science and Operations Research — 5 citations into it; #5,310 of 11,946 by trust here, #7,262 by citations
Whom Anders Nielsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Methot
- Casper W. Berg
- Robert Fildes
- Mark N. Maunder
- Kasper Kristensen
- J. Andrew Royle
- Håvard Rue
- Chantell R. Wetzel
- David A. Fournier
- André E. Punt
Who trusts Anders Nielsen overall
- Casper W. Berg
- Mark N. Maunder
- K. Piner
- Kasper Kristensen
- Mollie E. Brooks
- J. Thorson
- Brian C. Stock
- P. de Valpine
- X. Harrison
Papers from Anders Nielsen's perspective
Ordered by how strongly the researchers Anders Nielsen 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
- 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
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Optim. Methods Softw.)
- 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
- Smoothing Parameter and Model Selection for General Smooth Models
Their papers
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (2012) — 1,897 citations
- TMB: Automatic Differentiation and Laplace Approximation (2015) — 931 citations
- glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling (2017) — 10,195 citations
- Estimation of time-varying selectivity in stock assessments using state-space models (2014) — 223 citations
- Evaluation of alternative age-based methods for estimating relative abundance from survey data in relation to assessment models (2014) — 51 citations
- Modeling zero-inflated count data with glmmTMB (2017) — 360 citations
- Accounting for correlated observations in an age-based state-space stock assessment model (2016) — 55 citations
- Postrelease survival, vertical and horizontal movements, and thermal habitats of five species of pelagic sharks in the central Pacific Ocean (2011) — 179 citations