Brian C. Stock

Statistics and Probability · 2018–2021

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

Subfields

• Statistics and Probability — 8 citations into it

Whom Brian C. Stock trusts overall

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

1. Andrew Gelman
2. John K. Kruschke
3. R. Mcelreath
4. D. Phillips
5. Anders Nielsen
6. Casper W. Berg

Papers from Brian C. Stock's perspective

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

1. Discussion of "Analysis of variance--why it is more important than ever" by A. Gelman
2. Bayesian data analysis.
3. Source Partitioning Using Stable Isotopes: Coping with Too Much Variation (PLoS ONE)
4. Statistical Rethinking: A Bayesian Course with Examples in R and Stan
5. The ASA Statement on p-Values: Context, Process, and Purpose
6. Bayesian measures of model complexity and fit
7. Information Theory and an Extension of the Maximum Likelihood Principle
8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
9. Model selection and multimodel inference : a practical information-theoretic approach
10. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Their papers

• The Woods Hole Assessment Model (WHAM): A general state-space assessment framework that incorporates time- and age-varying processes via random effects and links to environmental covariates (2021) — 58 citations
• Analyzing mixing systems using a new generation of Bayesian tracer mixing models (2018) — 1,272 citations