Continuous Time Modeling in the Behavioral and Related Sciences

This unique book provides an overview of continuous time modeling in the behavioral and related sciences. It argues that the use of discrete time models for processes that are in fact evolving in continuous time produces problems that make their application in practice highly questionable. One main...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: van Montfort, Kees (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Oud, Johan H.L (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Voelkle, Manuel C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preface
  • List of contributors
  • First- and Higher-Order Continuous Time Models for Arbitrary N Using SEM
  • A Continuous Time Approach to Intensive Longitudinal Data: What, Why and How?
  • On Fitting a Continuous Time Stochastic Process Model in the Bayesian Framework
  • Understanding the Time Course of Interventions with Continuous Time Dynamic Models
  • Continuous-Time Modeling of Panel Data with Network Structure
  • Uses and Limitation of Continuous-Time Models to Examine Dyadic Interactions
  • Makes Religion Happy - or Makes Happiness Religious? An Analysis of a Three-Wave Panel Using and Comparing Discrete and Continuous Time Techniques
  • Mediation Modeling: Differing Perspectives on Time Alter Mediation Inferences
  • Stochastic Differential Equation Models with Time-Varying Parameters
  • Robustness of Time Delay Embedding to Sampling Interval Misspecification
  • Recursive Partitioning in Continuous Time Analysis
  • Continuous versus Discrete Time Modelling in Growth and Business Cycle Theory
  • Continuous Time State Space Modeling with an Application to High-Frequency Road Traffic Data
  • Continuous Time Modelling Based on an Exact Discrete Time Representation
  • Implementation of Multivariate Continuous-Time ARMA Models
  • Langevin and Kalman Importance Sampling for Nonlinear Continuous-Discrete State Space Models.