Citations (23)
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Meng Chen, Sy-Miin Chow, Zita Oravecz & Emilio Ferrer. (2023) Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach. Multivariate Behavioral Research 58:5, pages 1014-1038.
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Martin Hecht & Steffen Zitzmann. (2021) Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects. Structural Equation Modeling: A Multidisciplinary Journal 28:6, pages 894-902.
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Sy-Miin Chow. (2019) Practical Tools and Guidelines for Exploring and Fitting Linear and Nonlinear Dynamical Systems Models. Multivariate Behavioral Research 54:5, pages 690-718.
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Manuel C. Voelkle, Christian Gische, Charles C. Driver & Ulman Lindenberger. (2018) The Role of Time in the Quest for Understanding Psychological Mechanisms. Multivariate Behavioral Research 53:6, pages 782-805.
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Johan H.L. Oud, Manuel C. Voelkle & Charles C. Driver. (2018) SEM Based CARMA Time Series Modeling for Arbitrary N. Multivariate Behavioral Research 53:1, pages 36-56.
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Pascal R. Deboeck & Aaron J. Boulton. (2016) Integration of Stochastic Differential Equations Using Structural Equation Modeling: A Method to Facilitate Model Fitting and Pedagogy. Structural Equation Modeling: A Multidisciplinary Journal 23:6, pages 888-903.
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Hermann Singer. (2016) SEM modeling with singular moment matrices Part III: GLS estimation. The Journal of Mathematical Sociology 40:3, pages 167-184.
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Sy-Miin Chow, Jason J. Bendezú, Pamela M. Cole & Nilam Ram. (2016) A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects. Multivariate Behavioral Research 51:2-3, pages 154-184.
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Pascal R. Deboeck & Kristopher J. Preacher. (2016) No Need to be Discrete: A Method for Continuous Time Mediation Analysis. Structural Equation Modeling: A Multidisciplinary Journal 23:1, pages 61-75.
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Manuel C. Voelkle & Johan H. L. Oud. (2015) Relating Latent Change Score and Continuous Time Models. Structural Equation Modeling: A Multidisciplinary Journal 22:3, pages 366-381.
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Jonathan E. Butner, Cynthia A. Berg, Brian R. Baucom & Deborah J. Wiebe. (2014) Modeling Coordination in Multiple Simultaneous Latent Change Scores. Multivariate Behavioral Research 49:6, pages 554-570.
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Articles from other publishers (12)
Oisín Ryan & Ellen L. Hamaker. (2021) Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality. Psychometrika 87:1, pages 214-252.
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Martin Hecht & Manuel C. Voelkle. (2019) Continuous-time modeling in prevention research: An illustration. International Journal of Behavioral Development 45:1, pages 19-27.
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Sigert Ariens, Eva Ceulemans & Janne K. Adolf. (2020) Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overview. Journal of Psychosomatic Research 137, pages 110191.
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Nynke M. D. Niezink, Tom A. B. Snijders & Marijtje A. J. van Duijn. (2019) No Longer Discrete: Modeling the Dynamics of Social Networks and Continuous Behavior. Sociological Methodology 49:1, pages 295-340.
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Zhao-Hua Lu, Sy-Miin Chow, Nilam Ram & Pamela M. Cole. (2019) Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data. Psychometrika 84:2, pages 611-645.
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Sy-Miin Chow, Lu Ou, Arridhana Ciptadi, Emily B. Prince, Dongjun You, Michael D. Hunter, James M. Rehg, Agata Rozga & Daniel S. Messinger. (2018) Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching. Psychometrika 83:2, pages 476-510.
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Sy-Miin Chow, Zhaohua Lu, Andrew Sherwood & Hongtu Zhu. (2014) Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm. Psychometrika 81:1, pages 102-134.
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Gudmund Hernes & Kenneth C. Land. 2015. International Encyclopedia of the Social & Behavioral Sciences. International Encyclopedia of the Social & Behavioral Sciences
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Manuel C. Voelkle & Johan H. L. Oud. (2012) Continuous time modelling with individually varying time intervals for oscillating and non‐oscillating processes. British Journal of Mathematical and Statistical Psychology 66:1, pages 103-126.
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Hermann Singer. (2011) Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms. AStA Advances in Statistical Analysis 95:4, pages 375-413.
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