SOFTWARE 2017-10-24T14:35:06+00:00
  1. Chow, S-M., *Bendezú, J. J., Cole, P. M., & Ram, N. (2016). A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation (ODE) Models with Mixed Effects. Multivariate Behavioral Research, 51, 154-184. Doi: 10.1080/00273171.2015.1123138. Download
  2. Lu, Z-H., Chow, S-M., & Loken, E. (2016). Bayesian factor analysis as a variable selection problem. Multivariate Behavioral Research, 51(2-3), 154-184. Download
  3. Lu, Z-H., Chow, S-M., & Loken, E. (in press). A Comparison of Bayesian and Frequentist Model Selection Methods for Factor Analysis Models. Psychological Methods.
  4. Lu, Z-H., Chow, S-M., Sherwood, A, & Zhu, H. (2015). Bayesian analysis of ambulatory cardiovascular dynamics with application to irregularly spaced sparse data. Annals of Applied Statistics, 9(3), 1601-1620. Doi: 10.1214/15-AOAS846.  Download
  5. Chow, S-M., *Lu, Z., Sherwood, A. & Zhu, H. (2016). Fitting nonlinear differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation-maximization (SAEM) algorithm. Psychometrika, 81(1), 102-134. Doi:10.1007/s11336-014-9431-z.  PubMed #: 25416456  Download
  6. Chow, S-M., Witkiewitz, K. Grasman, R., & Maisto, S. (2015). The Cusp Catastrophe Model as Cross-Sectional and Longitudinal Mixture Structural Equation Models. Psychological Methods, 20, 142-164. PubMed # 25822209 NIHMSID 667553 Download
  7. Chow, S-M., Grimm, K. J., *Filteau, G., Dolan, C. V, & McArdle, J. J. (2013). Regime-switching bivariate dual change score model. Multivariate Behavioral Research, 48(4), 463-502 Download
  8. Chow, S-M, & Zhang, G. (2013). Regime-switching nonlinear dynamic factor analysis models. Psychometrika, 78(4), 740-768.  Link
  9. Chow, S-M., *Zu, J., Shifren, K. & Zhang, G. (2011). Dynamic factor analysis models with time-varying parameters. Multivariate Behavioral Research, 46(2), 303-339.  PaperMatlab codes
  10. Chow, S-M., Ferrer, E. & Nesselroade J. R. (2007). An unscented Kalman filter approach to the estimation of nonlinear dynamical systems models. Multivariate Behavioral Research, 42 (2), 283-321. PaperDownload
  11. Chow, S-M. & Zhang, G. (2008). Continuous-time modeling of irregularly spaced panel data using a cubic spline interpolation technique. Special issue on “Continuous-time modeling of panel data” in Statistica Neerlandica (coedited by J. H. L. Oud & H. Singer). DownloadOx code
  12. Chow, S-M., Ho, M. H. R., Hamaker, E. & Dolan, C. (2010). Equivalence and differences between structural equation modeling and state—space modeling techniques. Structural Equation Modeling, 17, 303-332. PaperScripts