| Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology JA Bastiaansen, YK Kunkels, FJ Blaauw, SM Boker, E Ceulemans, ... Journal of psychosomatic research 137, 110211, 2020 | 129 | 2020 |
| A person-and time-varying vector autoregressive model to capture interactive infant-mother head movement dynamics M Chen, SM Chow, Z Hammal, DS Messinger, JF Cohn Multivariate behavioral research 56 (5), 739-767, 2021 | 19 | 2021 |
| Stochastic differential equation models with time-varying parameters M Chen, SM Chow, MD Hunter Continuous time modeling in the behavioral and related sciences, 205-238, 2018 | 16 | 2018 |
| A diagnostic procedure for detecting outliers in linear state–space models D You, M Hunter, M Chen, SM Chow Multivariate behavioral research 55 (2), 231-255, 2020 | 13 | 2020 |
| A Bayesian vector autoregressive model with nonignorable missingness in dependent variables and covariates: Development, evaluation, and application to family processes L Ji, M Chen, Z Oravecz, EM Cummings, ZH Lu, SM Chow Structural equation modeling: a multidisciplinary journal 27 (3), 442-467, 2020 | 10 | 2020 |
| Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models. R Batra, SK Johal, M Chen, E Ferrer Psychological Methods, 2023 | 3 | 2023 |
| Fitting bayesian stochastic differential equation models with mixed effects through a filtering approach M Chen, SM Chow, Z Oravecz, E Ferrer Multivariate Behavioral Research 58 (5), 1014-1038, 2023 | 2 | 2023 |
| Assessing dynamical associations in dyadic interactions across multiple time scales via a Bayesian hierarchical vector autoregressive model M Chen, E Ferrer Journal of Social and Personal Relationships, 02654075221137865, 2022 | 2 | 2022 |
| Father–child physiological concordance on two timescales is differentially associated with paternal characteristics X Zhang, LM Gatzke‐Kopp, M Chen, PM Cole, N Ram Psychophysiology 59 (10), e14073, 2022 | 1 | 2022 |
| What More Can We Do with Continuous-time Models? Model Fitting Approches for Mixed-effect Models and Non-normal Data M Chen | 1 | 2021 |
| Associations between morning affect and later-day smoking urges and behavior. L Benson, M Chen, I De La Torre, ET Hébert, A Alexander, CK Ra, ... Psychology of Addictive Behaviors, 2023 | | 2023 |
| Translating psychological verbal theories into formal testable models of differential equations M Chen, R Batra, ED Beck, E Ferrer PsyArXiv, 2023 | | 2023 |
| Ordinal Outcome State-Space Models for Intensive Longitudinal Data TR Henry, LR Slipetz, A Falk, J Qiu, M Chen arXiv preprint arXiv:2305.13444, 2023 | | 2023 |
| Longitudinal models for assessing dynamics in dyadic data. M Chen, E Ferrer, H Song Handbook of Structural Equation Modeling, 640-652, 2022 | | 2022 |
| Dynamic Models with Regime-Switching L Ou, MD Hunter, SM Chow, L Ji, M Chen, HJ Hung, J Lee, Y Li, J Park, ... | | 2021 |
| A Review of Nonparametric Models for Longitudinal Data SM Chow, M Chen Journal of Educational and Behavioral Statistics 45 (3), 369-373, 2020 | | 2020 |
| Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter M Chen | | 2020 |
