Sy-Miin Chow, Ph.D.

Area:
lifespan development
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"Sy-Miin Chow"
Mean distance: 18.59 (cluster 13)
 
SNBCP

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John Nesselroade grad student 2004 UVA
 (Fitting linear and nonlinear dynamic models using different Kalman filter approaches.)
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Publications

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Lu ZH, Chow SM, Ram N, et al. (2019) Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data. Psychometrika
Morales S, Ram N, Buss KA, et al. (2017) Age-related changes in the dynamics of fear-related regulation in early childhood. Developmental Science
Lu ZH, Chow SM, Loken E. (2017) A comparison of Bayesian and frequentist model selection methods for factor analysis models. Psychological Methods. 22: 361-381
Wood J, Oravecz Z, Vogel N, et al. (2017) Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
Cole PM, Bendezú JJ, Ram N, et al. (2017) Dynamical Systems Modeling of Early Childhood Self-Regulation. Emotion (Washington, D.C.)
Helm JL, Ram N, Cole PM, et al. (2016) Modeling Self-Regulation as a Process Using a Multiple Time-Scale Multiphase Latent Basis Growth Model. Structural Equation Modeling : a Multidisciplinary Journal. 23: 635-648
Chow SM, Bendezú JJ, Cole PM, et al. (2016) A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects. Multivariate Behavioral Research. 51: 154-184
Lu ZH, Chow SM, Loken E. (2016) Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences. Multivariate Behavioral Research. 1-21
Lu ZH, Chow SM, Sherwood A, et al. (2015) Bayesian Analysis of Ambulatory Blood Pressure Dynamics with Application to Irregularly Spaced Sparse Data. The Annals of Applied Statistics. 9: 1601-1620
Chow SM, Witkiewitz K, P P P Grasman R, et al. (2015) The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods. 20: 142-64
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