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Sy-Miin Chow

    • 824 Citations
    • 16 h-Index
    20032019
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    Fingerprint Dive into the research topics where Sy-Miin Chow is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    • 3 Similar Profiles
    Space Simulation Medicine & Life Sciences
    Statistical Factor Analysis Medicine & Life Sciences
    Factor Analysis Mathematics
    State-space Model Mathematics
    Emotions Medicine & Life Sciences
    Regime Switching Mathematics
    Bayes Theorem Medicine & Life Sciences
    Model Mathematics

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    Research Output 2003 2019

    A Diagnostic Procedure for Detecting Outliers in Linear State–Space Models

    You, D., Hunter, M., Chen, M. & Chow, S-M., Jan 1 2019, In : Multivariate Behavioral Research.

    Research output: Contribution to journal › Article

    State-space Model
    Outlier
    Linear Models
    Linear Model
    Diagnostics

    Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive Model

    Ji, L., Chow, S. M., Crosby, B. & Teti, D. M., Jan 1 2019, (Accepted/In press) In : Multivariate Behavioral Research.

    Research output: Contribution to journal › Article

    3 Citations (Scopus)

    Life Course Socioeconomic Status, Daily Stressors, and Daily Well-Being: Examining Chain of Risk Models

    Surachman, A., Wardecker, B., Chow, S. M. & Almeida, D., Jan 1 2019, In : Journals of Gerontology - Series B Psychological Sciences and Social Sciences. 74, 1, p. 126-135 10 p.

    Research output: Contribution to journal › Article

    Social Class
    social status
    well-being
    human being
    childhood

    Practical Tools and Guidelines for Exploring and Fitting Linear and Nonlinear Dynamical Systems Models

    Chow, S-M., Sep 3 2019, In : Multivariate Behavioral Research. 54, 5, p. 690-718 29 p.

    Research output: Contribution to journal › Article

    Linear Dynamical Systems
    Nonlinear Dynamical Systems
    Linear Models
    Software
    Dynamical system
    1 Citation (Scopus)

    The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data

    Jacobson, N. C., Chow, S. M. & Newman, M. G., Feb 15 2019, In : Behavior research methods. 51, 1, p. 295-315 21 p.

    Research output: Contribution to journal › Article

    Modeling
    Longitudinal Data
    Population Groups
    Anxiety
    Heart Rate