Hierarchical Bayesian continuous time dynamic modeling

Continuous time dynamic models are similar to popular discrete time models such as autoregressive cross-lagged models, but through use of stochastic differential equations can accurately account for differences in time intervals between measurements, and more parsimoniously specify complex dynamics....

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Bibliographic Details
Published inPsychological methods Vol. 23; no. 4; p. 774
Main Authors Driver, Charles C, Voelkle, Manuel C
Format Journal Article
LanguageEnglish
Published United States 01.12.2018
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