Contents
This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics.
- Introduction and Section Overview.
- Part 1. Parametric and Exploratory Approaches for Extracting Within-Person Nonstationarities
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P.C.M. Molenaar, N. Ram
Dynamic Modeling and Optimal Control of Intra-Individual Variation: A Computational Paradigm for Non-Ergodic Psychological Processes. -
M. Tarvainen
Dynamic Spectral Analysis of Biomedical Signals with Application to EEG and Heart Rate Variability. -
B. Gao, H. Ombao, M.R. Ho
Cluster Analysis for Non-Stationary Time Series. -
R. Prado
Characterizing Latent Structure in Brain Signals. -
H. Ombao, R. Prado
A Closer Look at Two Approaches for Analysis and Classification of Non-Stationary Time Series.
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P.C.M. Molenaar, N. Ram
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Part 2. Representing and Extracting Intraindividual Change
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S. Boker, P.R. Deboeck, C. Edler, P. Keep
Generalized Local Linear Approximation of Derivatives from Time Series. -
P.R. Doebeck, S.M. Boker
Unbiased, Smoothing-Corrected Estimation of Oscillators in Psychology. -
P.F. Craigmile, M. Peruggia, T. Van Zandt
Detrending Response Times Series. G. Zhang, M.W. Browne, Dynamic Factor Analysis with Ordinal Manifest Variables. -
R.P. Bowles
Measuring Intraindividual Variability with Intratask Change Using Item Response Models.
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S. Boker, P.R. Deboeck, C. Edler, P. Keep
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Part 3. Modeling Interindividual Differences in Chang and Interpersonal Dynamics.
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R. Cudeck, J. Harring
Developing a Random Coefficient Model for Nonlinear Repeated Measures Data. -
F. Hamagami, Z.J. Zhang, J. McArdle
A Bayesian Discrete Dynamic System by Latent Difference Score Structural Equations Models for Multivariate Repeated Measures Data. -
L. Wang, Z. Zhang, R. Estabrook
Longitudinal Mediation Analysis of Training Intervention Effects. -
F. Hsieh, S. Chen, S. Chow, E. Ferrer
Exploring Intra-Individual, Inter-Individual and Inter-Variable Dynamics in Dyadic Interactions.
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R. Cudeck, J. Harring