A Bayesian nonlinear mixed-effects location scale model for learning

A Bayesian nonlinear mixed-effects location scale model for learning

We present a Bayesian nonlinear mixed-effects location scale model (NL-MELSM). The NL-MELSM allows for fitting nonlinear functions to the location, or individual means, and the scale, or within-person variance. Specifically, in the context of learning, this model allows the within-person variance to...

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Bibliographic Details
Main Authors: Rast, P. (Author), Williams, D.R (Author), Zimprich, D.R (Author)
Format: Article
Language:English
Published: Springer New York LLC 2019
Subjects:
adult
aged
Aged
article
Bayes theorem
Bayes Theorem
Bayesian inference
clinical trial (topic)
covariance
exploratory research
female
Female
groups by age
human
human experiment
Humans
Intra-individual variability
major clinical study
male
Male
methodology
Nonlinear Dynamics
Nonlinear mixed-effects location scale model
nonlinear system
Research Design
verbal learning
Verbal learning
verbal memory
young adult
Young Adult
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