Continuous Time Modeling in the Behavioral and Related Sciences
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portes grátis
Continuous Time Modeling in the Behavioral and Related Sciences
Voelkle, Manuel C.; van Montfort, Kees; Oud, Johan H.L.
Springer International Publishing AG
10/2018
442
Dura
Inglês
9783319772189
15 a 20 dias
846
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
37N40, 62M10, 62P15, 62P25, 65F60, 91B99, 91D30, 93E99, 97M70;continuous time modeling;recursive partitioning;analysis of panel data;structural equation modeling;longitudinal studies;Time series data;Panel data;State space modeling;CARMA modeling;structural equation modeling;impulse response;exact discrete time model;adaptive equilibrium;time-varying parameters;Bayesian continuous time modeling
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
37N40, 62M10, 62P15, 62P25, 65F60, 91B99, 91D30, 93E99, 97M70;continuous time modeling;recursive partitioning;analysis of panel data;structural equation modeling;longitudinal studies;Time series data;Panel data;State space modeling;CARMA modeling;structural equation modeling;impulse response;exact discrete time model;adaptive equilibrium;time-varying parameters;Bayesian continuous time modeling
