John Nerbonne

Language and Linguistics · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom John Nerbonne trusts overall

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

  1. R. Harald Baayen
  2. Sali A. Tagliamonte

Who trusts John Nerbonne overall

  1. Pam Mueller
  2. Daniele Quercia
  3. Ahmed Husseini Orabi
  4. Daniel M. Oppenheimer
  5. Rossano Schifanella
  6. Francisco Manuel Rangel Pardo
  7. Prasadith Buddhitha
  8. Aaron Springer
  9. Luca Maria Aiello
  10. Ben Verhoeven

Papers from John Nerbonne's perspective

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

  1. Mixed-effects modeling with crossed random effects for subjects and items
  2. Generalized Additive Models
  3. Frequency of word-use predicts rates of lexical evolution throughout Indo-European history
  4. Models, forests, and trees of York English: Was/were variation as a case study for statistical practice (Language Variation and Change)
  5. Mixed-Effects Models in S and S-Plus
  6. Regression Modeling Strategies (Technometrics)
  7. A real experiment is a factorial experiment
  8. Random Forests
  9. Categorical Data Analysis: Away from ANOVAs (transformation or not) and towards Logit Mixed Models (Journal of Memory and Language)
  10. Analysing Sociolinguistic Variation

Their papers