Mollie E. Brooks

Statistics and Probability · 2009–2017

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mollie E. Brooks trusts overall

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

  1. Benjamin M. Bolker
  2. J. Hadfield
  3. Paul-Christian Burkner
  4. Håvard Rue
  5. Achim Zeileis
  6. A. Huang
  7. Douglas M. Bates
  8. X. Harrison
  9. Kasper Kristensen
  10. David I. Warton

Who trusts Mollie E. Brooks overall

  1. X. Harrison
  2. Jacob C. Douma
  3. H. Schielzeth
  4. David I. Warton
  5. Shinichi Nakagawa
  6. Anthony R. Ives
  7. Paul C. Johnson
  8. N. Dingemanse
  9. J. Weedon
  10. N. Bunnefeld

Papers from Mollie E. Brooks's perspective

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

  1. Generalized Linear Models
  2. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  3. R: A language and environment for statistical computing.
  4. Fitting Linear Mixed-Effects Models Using lme4
  5. Zero-inflated Poisson regression, with an application to defects in manufacturing
  6. MCMC methods for multi-response generalized linear mixed models
  7. Generalized linear mixed models: a practical guide for ecology and evolution. (Trends in Ecology & Evolution)
  8. A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution
  9. Mixed Effects Models and Extensions in Ecology with R
  10. A Flexible Regression Model for Count Data

Their papers