Note: Publications “in press” are displayed as published in year 3999.
2023
Singmann, Henrik; Cox, Gregory Edward; Kellen, David; Chandramouli, Suyog; Davis-Stober, Clintin; Dunn, John C; Gronau, Quentin Frederik; Kalish, Michael; McMullin, Sara D; Navarro, Danielle; Shiffrin, Richard M
Statistics in the Service of Science: Don't let the Tail Wag the Dog Journal Article
In: Computational Brain & Behavior, vol. 6, iss. 1, pp. 64-83, 2023.
Links | BibTeX | Tags: Bayes Factor, Bayesian modelling, Statistics - Computation
@article{nokey,
title = {Statistics in the Service of Science: Don't let the Tail Wag the Dog},
author = {Henrik Singmann and Gregory Edward Cox and David Kellen and Suyog Chandramouli and Clintin Davis-Stober and John C Dunn and Quentin Frederik Gronau and Michael Kalish and Sara D McMullin and Danielle Navarro and Richard M Shiffrin},
url = {https://link.springer.com/content/pdf/10.1007/s42113-022-00129-2.pdf?pdf=button, publisher pdf
https://link.springer.com/article/10.1007/s42113-022-00129-2, publisher website
https://psyarxiv.com/kxhfu/download?format=pdf, accepted manuscript},
year = {2023},
date = {2023-03-01},
urldate = {2023-04-01},
journal = {Computational Brain & Behavior},
volume = {6},
issue = {1},
pages = {64-83},
keywords = {Bayes Factor, Bayesian modelling, Statistics - Computation},
pubstate = {published},
tppubtype = {article}
}
van Doorn, Johnny; Haaf, Julia M.; Stefan, Angelika M.; Wagenmakers, Eric-Jan; Cox, Gregory Edward; Davis-Stober, Clintin P.; Heathcote, Andrew; Heck, Daniel W.; Kalish, Michael; Kellen, David; Matzke, Dora; Morey, Richard D.; Nicenboim, Bruno; van Ravenzwaaij, Don; Rouder, Jeffrey N.; Schad, Daniel J.; Shiffrin, Richard M.; Singmann, Henrik; Vasishth, Shravan; Veríssimo, João; Bockting, Florence; Chandramouli, Suyog; Dunn, John C.; Gronau, Quentin F.; Linde, Maximilian; McMullin, Sara D.; Navarro, Danielle; Schnuerch, Martin; Yadav, Himanshu; Aust, Frederik
Bayes Factors for Mixed Models: a Discussion Journal Article
In: Computational Brain & Behavior, vol. 6, iss. 1, pp. 140-158, 2023.
Links | BibTeX | Tags: Bayes Factor, mixed models, Statistics - Computation
@article{vanDoorn2023,
title = {Bayes Factors for Mixed Models: a Discussion},
author = {Johnny van Doorn and Julia M. Haaf and Angelika M. Stefan and Eric-Jan Wagenmakers and Gregory Edward Cox and Clintin P. Davis-Stober and Andrew Heathcote and Daniel W. Heck and Michael Kalish and David Kellen and Dora Matzke and Richard D. Morey and Bruno Nicenboim and Don van Ravenzwaaij and Jeffrey N. Rouder and Daniel J. Schad and Richard M. Shiffrin and Henrik Singmann and Shravan Vasishth and João Veríssimo and Florence Bockting and Suyog Chandramouli and John C. Dunn and Quentin F. Gronau and Maximilian Linde and Sara D. McMullin and Danielle Navarro and Martin Schnuerch and Himanshu Yadav and Frederik Aust },
url = {https://link.springer.com/content/pdf/10.1007/s42113-022-00160-3.pdf?pdf=button, publisher PDF
https://link.springer.com/article/10.1007/s42113-022-00160-3, publisher website},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-01},
journal = {Computational Brain & Behavior},
volume = {6},
issue = {1},
pages = {140-158},
keywords = {Bayes Factor, mixed models, Statistics - Computation},
pubstate = {published},
tppubtype = {article}
}