T. J. Miller

Statistics and Probability · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. J. Miller trusts overall

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

  1. David A. Fournier
  2. Simon N. Wood
  3. Hans Julius Skaug
  4. R. Fryer

Papers from T. J. Miller's perspective

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

  1. AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Optim. Methods Softw.)
  2. Using mixed models to combine smooth size-selection and catch-comparison curves over hauls
  3. Generalized Linear Models
  4. Generalized Additive Models
  5. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  6. A Practical Guide to Splines
  7. Smoothing Parameter and Model Selection for General Smooth Models
  8. Evaluating derivatives - principles and techniques of algorithmic differentiation, Second Edition
  9. Smoothing Spline Anova Models
  10. Bayesian inference for generalized additive mixed models based on Markov random field priors

Their papers