J
Jonathon Love
Researcher at University of Amsterdam
Publications - 12
Citations - 2808
Jonathon Love is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Bayes factor & Statistical hypothesis testing. The author has an hindex of 11, co-authored 12 publications receiving 1989 citations. Previous affiliations of Jonathon Love include University of Newcastle.
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Journal ArticleDOI
Bayesian inference for psychology. Part II: Example applications with JASP
Eric-Jan Wagenmakers,Jonathon Love,Maarten Marsman,Tahira Jamil,Alexander Ly,Josine Verhagen,Ravi Selker,Quentin Frederik Gronau,Damian Dropmann,Bruno Boutin,Frans Meerhoff,Patrick Knight,Akash Raj,Erik-Jan van Kesteren,Johnny van Doorn,Martin Šmíra,Sacha Epskamp,Alexander Etz,Dora Matzke,Tim de Jong,Don van den Bergh,Alexandra Sarafoglou,Helen Steingroever,Koen Derks,Jeffrey N. Rouder,Richard D. Morey +25 more
TL;DR: This part of this series introduces JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems.
Journal ArticleDOI
Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications.
Eric-Jan Wagenmakers,Maarten Marsman,Tahira Jamil,Alexander Ly,Josine Verhagen,Jonathon Love,Ravi Selker,Quentin Frederik Gronau,Martin Šmíra,Sacha Epskamp,Dora Matzke,Jeffrey N. Rouder,Richard D. Morey +12 more
TL;DR: Ten prominent advantages of the Bayesian approach are outlined, and several objections to Bayesian hypothesis testing are countered.
Journal ArticleDOI
JASP: Graphical Statistical Software for Common Statistical Designs
Jonathon Love,Ravi Selker,Maarten Marsman,Tahira Jamil,Damian Dropmann,Josine Verhagen,Alexander Ly,Quentin Frederik Gronau,Martin Šmíra,Sacha Epskamp,Dora Matzke,Anneliese Wild,Patrick Knight,Jeffrey N. Rouder,Richard D. Morey,Eric-Jan Wagenmakers +15 more
TL;DR: This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables that provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation.
Journal ArticleDOI
A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm.
TL;DR: A Bayesian model is introduced that enables researchers to simultaneously estimate the probability of trigger failures and the entire distribution of stopping latencies and demonstrates that trigger failures are clearly present in two previous studies, and that ignoring them distorts estimates of stopped latencies.
Journal ArticleDOI
Default “Gunel and Dickey” Bayes factors for contingency tables
Tahira Jamil,Alexander Ly,Richard D. Morey,Jonathon Love,Maarten Marsman,Eric-Jan Wagenmakers +5 more
TL;DR: This work outlines an alternative, Bayes factor method to quantify the evidence for and against the hypothesis of independence in R×C contingency tables, and describes different sampling models for contingency tables.