Coverart for item
The Resource Continuous Time Modeling in the Behavioral and Related Sciences, edited by Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle, (electronic resource)

Continuous Time Modeling in the Behavioral and Related Sciences, edited by Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle, (electronic resource)

Label
Continuous Time Modeling in the Behavioral and Related Sciences
Title
Continuous Time Modeling in the Behavioral and Related Sciences
Statement of responsibility
edited by Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle
Contributor
Editor
Subject
Language
eng
Summary
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 issue is the dependence of discrete time parameter estimates on the chosen time interval, which leads to incomparability of results across different observation intervals. Continuous time modeling by means of differential equations offers a powerful approach for studying dynamic phenomena, yet the use of this approach in the behavioral and related sciences such as psychology, sociology, economics and medicine, is still rare. This is unfortunate, because in these fields often only a few discrete time (sampled) observations are available for analysis (e.g., daily, weekly, yearly, etc.). However, as emphasized by Rex Bergstrom, the pioneer of continuous-time modeling in econometrics, neither human beings nor the economy cease to exist in between observations. In 16 chapters, the book addresses a vast range of topics in continuous time modeling, from approaches that closely mimic traditional linear discrete time models to highly nonlinear state space modeling techniques. Each chapter describes the type of research questions and data that the approach is most suitable for, provides detailed statistical explanations of the models, and includes one or more applied examples. To allow readers to implement the various techniques directly, accompanying computer code is made available online. The book is intended as a reference work for students and scientists working with longitudinal data who have a Master's- or early PhD-level knowledge of statistics.--
Assigning source
Provided by publisher
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • van Montfort, Kees
  • Oud, Johan H.L
  • Voelkle, Manuel C
Series statement
  • Springer eBooks
  • Springer eBooks.
http://library.link/vocab/subjectName
  • Statistics
  • Animal behavior
  • Social sciences
  • Statistical methods
Label
Continuous Time Modeling in the Behavioral and Related Sciences, edited by Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-319-77219-6
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Control code
978-3-319-77219-6
Dimensions
unknown
Extent
1 online resource (XI, 442 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319772196
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
95 illustrations, 44 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1057471501
Label
Continuous Time Modeling in the Behavioral and Related Sciences, edited by Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-319-77219-6
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Control code
978-3-319-77219-6
Dimensions
unknown
Extent
1 online resource (XI, 442 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319772196
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
95 illustrations, 44 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1057471501

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