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Continuous Time Modeling in the Behavioral and Related Sciences

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Cover of 'Continuous Time Modeling in the Behavioral and Related Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 First- and Higher-Order Continuous Time Models for Arbitrary N Using SEM
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    Chapter 2 A Continuous-Time Approach to Intensive Longitudinal Data: What, Why, and How?
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    Chapter 3 On Fitting a Continuous-Time Stochastic Process Model in the Bayesian Framework
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    Chapter 4 Understanding the Time Course of Interventions with Continuous Time Dynamic Models
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    Chapter 5 Continuous-Time Modeling of Panel Data with Network Structure
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    Chapter 6 Uses and Limitation of Continuous-Time Models to Examine Dyadic Interactions
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    Chapter 7 Makes Religion Happy or Makes Happiness Religious? An Analysis of a Three-Wave Panel Using and Comparing Discrete and Continuous-Time Techniques
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    Chapter 8 Mediation Modeling: Differing Perspectives on Time Alter Mediation Inferences
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    Chapter 9 Stochastic Differential Equation Models with Time-Varying Parameters
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    Chapter 10 Robustness of Time Delay Embedding to Sampling Interval Misspecification
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    Chapter 11 Recursive Partitioning in Continuous Time Analysis
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    Chapter 12 Continuous versus Discrete Time Modeling in Growth and Business Cycle Theory
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    Chapter 13 Continuous Time State Space Modelling with an Application to High-Frequency Road Traffic Data
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    Chapter 14 Continuous Time Modelling Based on an Exact Discrete Time Representation
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    Chapter 15 Implementation of Multivariate Continuous-Time ARMA Models
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    Chapter 16 Langevin and Kalman Importance Sampling for Nonlinear Continuous-Discrete State-Space Models
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Title
Continuous Time Modeling in the Behavioral and Related Sciences
Published by
Springer International Publishing, August 2018
DOI 10.1007/978-3-319-77219-6
ISBNs
978-3-31-977218-9, 978-3-31-977219-6
Editors

Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 19%
Student > Ph. D. Student 8 19%
Researcher 5 12%
Student > Master 5 12%
Professor 2 5%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Psychology 15 36%
Social Sciences 5 12%
Physics and Astronomy 2 5%
Medicine and Dentistry 2 5%
Agricultural and Biological Sciences 1 2%
Other 5 12%
Unknown 12 29%