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Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Journal of Computational and Graphical Statistics, 2021Peng Zheng +2 more
exaly
Contrast coding choices in a decade of mixed models
Journal of Memory and Language, 2022Laurel Brehm, Phillip M Alday
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Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R
Behavior Research Methods, 2021Levi Kumle +2 more
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Robustness of linear mixed‐effects models to violations of distributional assumptions
Methods in Ecology and Evolution, 2020Holger Schielzeth +2 more
exaly
2010
The Context-Tree-Weighting algorithm is an example of an computationally efficient way to compute a Bayesian mixture of context-tree models. In this talk I will present several classes of models for which efficient mixing procedures exist. After briefly touching the binary CTW method I will discuss an efficient way to determine the MAP context tree ...
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The Context-Tree-Weighting algorithm is an example of an computationally efficient way to compute a Bayesian mixture of context-tree models. In this talk I will present several classes of models for which efficient mixing procedures exist. After briefly touching the binary CTW method I will discuss an efficient way to determine the MAP context tree ...
openaire +1 more source
The Importance of Random Slopes in Mixed Models for Bayesian Hypothesis Testing
Psychological Science, 2022Klaus Oberauer
exaly
Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models
Journal of Memory and Language, 2008T Florian Jaeger
exaly
Best practice guidance for linear mixed-effects models in psychological science
Journal of Memory and Language, 2020Lotte Meteyard
exaly

