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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Published in | Psychological methods Vol. 23; no. 4; p. 774 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
01.12.2018
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Subjects | |
Online Access | Get more information |
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