J. V. van Doorn

Statistics and Probability · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 55 citations into it
• Artificial Intelligence — 27 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom J. V. van Doorn trusts overall

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

1. Eric-Jan Wagenmakers
2. John K. Kruschke
3. Valen E. Johnson
4. W. Hoeffding
5. Robert E. Kass
6. James O. Berger
7. Paul-Christian Burkner
8. Thomas S. Ferguson
9. Adrian E. Raftery
10. Christopher C. Holmes

Who trusts J. V. van Doorn overall

1. Indrajeet Patil

Papers from J. V. van Doorn's perspective

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

1. Bayes factors
2. Revised standards for statistical evidence (Proceedings of the National Academy of Sciences of the United States of America)
3. On the Theory of Scales of Measurement.
4. Default Bayes Factors for Model Selection in Regression (Multivariate Behavioral Research)
5. Probability theory: the logic of science
6. Probabilistic programming in Python using PyMC3
7. brms: An R Package for Bayesian Multilevel Models Using Stan
8. Tall claims?: Sense and nonsense about the importance of height of US presidents
9. Default Bayes factors for ANOVA designs
10. A tutorial on a practical Bayesian alternative to null-hypothesis significance testing (Behavior Research Methods)

Their papers

• Bayesian inference for psychology. Part II: Example applications with JASP (2017) — 1,530 citations
• A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP (2019) — 308 citations
• The JASP guidelines for conducting and reporting a Bayesian analysis (2019) — 955 citations
• Bayesian Inference for Kendall’s Rank Correlation Coefficient (2018) — 118 citations