Bayesian model selection of informative hypotheses for repeated measurements

By Joris Mulder, Irene Klugkist, R. van de Schoot, W. Meeus, Maarten H. W. Selfhout, Herbert Hoijtink. 2009

98 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/eced3de74f32ca7af6e18c5885a875c0729d0ec0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Richard D. Morey
2. Paul L. Speckman
3. Jeffrey N. Rouder
4. Eric-Jan Wagenmakers
5. Henrik Singmann
6. M. Masson
7. Farouk S. Nathoo
8. Andrew F. Jarosz

In Statistics and Probability

1. Richard D. Morey
2. Jeffrey N. Rouder
3. Jordan M. Province
4. Paul L. Speckman
5. Sietske van Viersen
6. J. Reijnders
7. Marieke M. N. Middel-Lalleman
8. M. van Hooijdonk

Citations in the corpus

• Default Bayes factors for ANOVA designs (2012, background): “Because Bayes factors measure the evidence for competing positions, they have been recommended for inference in psychological settings (an incomplete list includes Edwards et al., 1963; Gallistel, 2009; Lee & Wagenmakers, 2005; Mulder et al., 2009; Rouder et al., 2009; Vanpaemel, 2010; Wagenmakers, ”
• The Psychological Well-Being of Early Identified Gifted Children (2016, background): “…package, offers the possibility of using prior knowledge to formulate and evaluate informative hypotheses using equality and inequality constraints between groups and to compare competing hypotheses (Mulder et al., 2009; Mulder, Hoijtink, & de Leeuw, 2012; Mulder, Hoijtink, & Klugkist, 2010).”