Jonah Gabry
Statistics and Probability · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 72 citations into it; #3,013 of 12,932 by trust here, #3,703 by citations
- Artificial Intelligence — 60 citations into it; #10,303 of 35,345 by trust here, #15,004 by citations
- Probabilistic & Bayesian Methods — 19 citations into it; #711 of 1,525 by trust here, #849 by citations
- Economics and Econometrics — 10 citations into it
- Management Science and Operations Research — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Jonah Gabry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Gelman
- Michael Betancourt
- Aki Vehtari
- Sumio Watanabe
- Edward L. Ionides
- Daniel P. Simpson
- E. Loken
- Joseph Hilbe
- Donald B. Rubin
- S. J. Koopman
Who trusts Jonah Gabry overall
- Paul-Christian Burkner
- Aki Vehtari
- Andrew Gelman
- Yuling Yao
- Edgar C. Merkle
- Dominique Makowski
- Matthew Lamm
- Yves Rosseel
- Ravi Kumar
- Mattan S. Ben-Shachar
Papers from Jonah Gabry's perspective
Ordered by how strongly the researchers Jonah Gabry trusts endorse each paper. Same corpus, a different order for every researcher.
- BAYESIAN THEORY
- Information Theory, Inference, and Learning Algorithms
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Handbook of Markov Chain Monte Carlo
- Density estimation using Real NVP
- Bayesian data analysis.
- Automatic Differentiation Variational Inference
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- A weakly informative default prior distribution for logistic and other regression models
Their papers
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC (2015) — 5,067 citations
- Pareto Smoothed Importance Sampling (2015) — 295 citations
- R-squared for Bayesian Regression Models (2019) — 791 citations
- Bayesian Workflow (2020) — 344 citations
- Visualization in Bayesian workflow (2017) — 981 citations
- Bayesian Applied Regression Modeling via Stan (2016) — 858 citations