Mulder, Joris Bayesian testing of linear versus nonlinear effects using Gaussian process priors. (English) Zbl 07699827 Am. Stat. 77, No. 1, 1-11 (2023). MSC: 62-XX × Cite Format Result Cite Review PDF Full Text: DOI arXiv Link
Mulder, Joris; Berger, James O.; Peña, Víctor; Bayarri, M. J. On the prevalence of information inconsistency in normal linear models. (English) Zbl 1474.62041 Test 30, No. 1, 103-132 (2021). MSC: 62F03 62F15 62A01 × Cite Format Result Cite Review PDF Full Text: DOI OA License
Williams, Donald R.; Mulder, Joris Bayesian hypothesis testing for Gaussian graphical models: conditional independence and order constraints. (English) Zbl 1455.91207 J. Math. Psychol. 99, Article ID 102441, 15 p. (2020). MSC: 91E45 62P15 × Cite Format Result Cite Review PDF Full Text: DOI Link
Mulder, Joris; Fox, Jean-Paul Bayes factor testing of multiple intraclass correlations. (English) Zbl 1416.62353 Bayesian Anal. 14, No. 2, 521-552 (2019). MSC: 62H30 62P25 62H20 62F15 × Cite Format Result Cite Review PDF Full Text: DOI Euclid
Böing-Messing, Florian; Mulder, Joris Automatic Bayes factors for testing variances of two independent normal distributions. (English) Zbl 1357.62105 J. Math. Psychol. 72, 158-170 (2016). MSC: 62F15 62F03 × Cite Format Result Cite Review PDF Full Text: DOI
Mulder, Joris (ed.); Wagenmakers, Eric-Jan (ed.) Editors’ introduction to the special issue “Bayes factors for testing hypotheses in psychological research: practical relevance and new developments”. (English) Zbl 1349.00253 J. Math. Psychol. 72, 1-5 (2016). MSC: 00B15 62-06 62P15 × Cite Format Result Cite Review PDF Full Text: DOI