A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data

From MaRDI portal
Publication:1036139

DOI10.1007/s11336-008-9106-8zbMath1272.62132OpenAlexW2122133974MaRDI QIDQ1036139

Zita Oravecz, Joachim Vandekerckhove, Francis Tuerlinckx

Publication date: 5 November 2009

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-008-9106-8




Related Items (18)

Time to intervene: a continuous-time approach to network analysis and centralityForecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student dropout study in mathLatent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responsesParsimonious structural equation models for repeated measures data, with application to the study of consumer preferencesRegime switching state-space models applied to psychological processes: handling missing data and making inferencesEstimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filterParameters estimation for RL electrical circuits based on least square and Bayesian approachApproximate Bayesian computation with differential evolutionBayesian prediction of crack growth based on a hierarchical diffusion modelBayesian longitudinal models for paediatric kidney transplant recipientsAn idiographic approach to estimating models of dyadic interactions with differential equationsThe linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some equivalences and differencesRepresenting sudden shifts in intensive dyadic interaction data using differential equation models with regime switchingBayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential EquationsA cognitive latent variable model for the simultaneous analysis of behavioral and personality dataGet over it! A multilevel threshold autoregressive model for state-dependent affect regulationParticle methods for stochastic differential equation mixed effects modelsHierarchical time-varying mixed-effects models in high-dimensional time series and longitudinal data studies


Uses Software


Cites Work


This page was built for publication: A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data