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Titlebook: Continuous Time Modeling in the Behavioral and Related Sciences; Kees van Montfort,Johan H. L. Oud,Manuel C. Voelkl Book 2018 Springer Int

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樓主: calcification
21#
發(fā)表于 2025-3-25 04:23:57 | 只看該作者
Implementation of Multivariate Continuous-Time ARMA Models,be observed at irregular non-synchronous discrete time points. The computational approach for calculating the likelihood is based on a state-space form and the Kalman filter. Interpretation of the CARMA models is discussed. The computational algorithms have been implemented in R packages. Examples of a simulated and real data are shown.
22#
發(fā)表于 2025-3-25 07:57:28 | 只看該作者
Klaus Walther,Frank Thom?,Wulf Schwanh?u?er, treatments where the effect may reverse in direction over time, treatments that change a trend, assessing mediation in treatment effects and examining individual differences in treatment effects, duration and shape and correlates of such individual differences.
23#
發(fā)表于 2025-3-25 12:42:04 | 只看該作者
24#
發(fā)表于 2025-3-25 18:01:29 | 只看該作者
https://doi.org/10.1007/978-3-322-88551-7tinuous-time (CT) first-order vector autoregressive (VAR(1)) model—and (b) argue for and illustrate the potential of this model for the study of psychological processes using intensive longitudinal data. We begin by describing what the CT-VAR(1) model is and how it relates to the more commonly used
25#
發(fā)表于 2025-3-25 22:39:02 | 只看該作者
26#
發(fā)表于 2025-3-26 03:33:40 | 只看該作者
Klaus Walther,Frank Thom?,Wulf Schwanh?u?erple respond faster or stronger than others? Is the treatment more effective in the long run for those that respond quickly? We describe a continuous time dynamic modelling approach for addressing such questions, with discussion and example code for simple impulse effects, persistent changes in level
27#
發(fā)表于 2025-3-26 07:31:00 | 只看該作者
Die ungleiche Verteilung des Glücksollaboration, between the individuals in such contexts can be represented by social networks. Like individual outcomes (e.g., behavior or performance), the social relations between individuals are not static. Social networks and individual outcomes change over time and can mutually affect each other
28#
發(fā)表于 2025-3-26 11:28:49 | 只看該作者
Die ungleiche Verteilung des Glücks. The theoretical model is based on work by Felmlee and Greenberg (J Math Soc 23(3):155–180, 1999), which specifies that change in affect results from the combination of a weighted difference between long-term expectations and daily ratings as well as daily ratings between partners in the dyad. To v
29#
發(fā)表于 2025-3-26 15:19:22 | 只看該作者
Die ungleiche Verteilung des Glücks 43 and 56. Religiosity is measured as church attendance and Christian belief such that three measures are followed up over three time points. Analyses by structural equation modelling in discrete time and continuous time are compared. According to both methods, church attendance has the strongest a
30#
發(fā)表于 2025-3-26 17:28:36 | 只看該作者
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