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Johnny van Doorn

Researcher at University of Amsterdam

Publications -  24
Citations -  7613

Johnny van Doorn is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Bayesian probability & Bayesian inference. The author has an hindex of 11, co-authored 20 publications receiving 5846 citations. Previous affiliations of Johnny van Doorn include Katholieke Universiteit Leuven.

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Estimating the reproducibility of psychological science

Alexander A. Aarts, +290 more
- 28 Aug 2015 - 
TL;DR: A large-scale assessment suggests that experimental reproducibility in psychology leaves a lot to be desired, and correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.

The JASP Guidelines for Conducting and Reporting a Bayesian Analysis - Online Repository

TL;DR: These guidelines are geared toward analyses performed with the open-source statistical software JASP, and most guidelines extend to Bayesian inference in general.
Journal ArticleDOI

Bayesian Inference for Kendall’s Rank Correlation Coefficient

TL;DR: In this paper, a Bayesian methodology is proposed to estimate and test the Kendall rank correlation coefficient τ using test statistics rather than data, and the combined result is an inferential methodology that yields a posterior distribution for Kendall's τ.