2016
McDonald, N., Baker, J., & Messinger, D. (). Oxytocin and parent–child interaction in the development of empathy among children at risk for autism. Developmental Psychology, 52(5), 735-745. http://doi.org/10.1037/dev0000104
Gangi, D., Messinger, D., Martin, E., & Cuccaro, M. (). Dopaminergic variants in siblings at high risk for autism: Associations with initiating joint attention. Autism Research, 9(11), 1142-1150. http://doi.org/10.1002/aur.1623
Neale, M., Clark, S., Dolan, C., & Hunter, M. (). Regime Switching Modeling of Substance Use: Time-Varying and Second-Order Markov Models and Individual Probability Plots. Structural Equation Modeling, 23(2), 221-233. https://doi.org/10.1080/10705511.2014.979932
Chow, S., Lu, Z., Sherwood, A., & Zhu, H. (). Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm. Psychometrika, 81(1), 102-134. https://doi.org/10.1007/s11336-014-9431-z
Chow, S., Bendezú, J., Cole, P., & Ram, N. (). A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects. Multivariate Behavioral Research, 51(2), 154-184. https://doi.org/10.1080/00273171.2015.1123138
Ram, N., Benson, L., Brick, T., Conroy, D., & Pincus, A. (). Behavioral Landscapes and Earth Mover’s Distance: A New Approach for Studying Individual Differences in Density Distributions. Journal of Research in Personality, 69, 191-205. https://doi.org/10.1016/j.jrp.2016.06.010
Ou, L., Chow, S., Ji, L., & Molenaar, P. (). An Examination of Initial Condition Specification in Autoregressive Latent Trajectory Models. Multivariate Behavioral Research.
Hu, Q., Hu, Q., Bezawada, S., Bezawada, S., Gray, A., Gray, A., Tucker, C., & Brick, T. (). Exploring the link between task complexity and students' affective states during engineering laboratory activities. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 0, V003T04A019–V003T04A019. https://doi.org/10.1115/DETC2016-59757
Fisher, Z., Bollen, K., Lindquist, K., Doyle, C., & Gates, K. (). Unified Estimation of Between- and Within-Network Relationships in High-Dimensional fMRI Time Series.: Organization for Human Brain Mapping. .
Vogel, N., Ram, N., Conroy, D., Pincus, A., & Gerstorf, D. (). How the Social Ecology and Social Situation Shape Individuals’ Affect Valence and Arousal. Emotion, 17(3), 509–527. http://doi.org/10.1037/emo0000244
Snoke, J., Brick, T., & Slavkovic, A. (). Accurate Estimation of Structural Equation Models with Remote Partitioned Data: Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference (PSD 2016). , 190--209. https://doi.org/10.1007/978-3-319-45381-1_15
Snoke, J., Brick, T., & Slavković, A. (). Accurate estimation of structural equation models with remote partitioned data. , 190-209. https://doi.org/10.1007/978-3-319-45381-1_15
2015
Aviezer, H., Messinger, D., Zangvil, S., Mattson, W., Gangi, D., & Todorov, A. (). Thrill of victory or agony of defeat?: Perceivers fail to utilize information in facial movements. Emotion, 15(6), 791-797. http://doi.org/10.1037/emo0000073
Ruvolo, P., Messinger, D., & Movellan, J. (). Infants Time Their Smiles to Make Their Moms Smile. PLOS ONE, 10(9). http://doi.org/10.1371/journal.pone.0136492
Lu, Z., Chow, S., Sherwood, A., & Zhu, H. (). Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data. Annals of Applied Statistics, 9(3), 1601-1620. https://doi.org/10.1214/15-AOAS846
Maher, J., Pincus, A., Ram, N., & Conroy, D. (). Daily physical activity and life satisfaction across adulthood. Developmental Psychology, 51(10), 1407-1419. http://doi.org/10.1037/dev0000037
Van Der Ark, L., Bolt, D., Wang, W., Douglas, J., & Chow, S. (). Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014. , 140. https://doi.org/10.1007/978-3-319-19977-1
Pritikin, J., Hunter, M., & Boker, S. (). Modular Open-Source Software for Item Factor Analysis. Educational and Psychological Measurement, 75(3), 458-474. https://doi.org/10.1177/0013164414554615
Ozonoff, S., Young, G., Landa, R., Brian, J., Bryson, S., Charman, T., Chawarska, K., Macari, S., Messinger, D., Stone, W., Zwaigenbaum, L., & Iosif, A. (). Diagnostic stability in young children at risk for autism spectrum disorder: A baby siblings research consortium study. Journal of Child Psychology and Psychiatry, 56(9), 988-998. http://doi.org/10.1111/jcpp.12421
Hammal, Z., Cohn, J., & Messinger, D. (). Head Movement Dynamics during Play and Perturbed Mother-Infant Interaction. IEEE Transactions on Affective Computing, 6(4), 361-370. http://doi.org/10.1109/TAFFC.2015.2422702
Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J., Cristani, M., Fuhrmann, F., Gilmartin, E., Hammal, Z., Heylen, D., Kaiser, R., Koutsombogera, M., Potamianos, A., Renals, S., Riccardi, G., & Salah, A. (). Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions. Cognitive Computation, 7(4), 397-413. http://doi.org/10.1007/s12559-015-9326-z
Chow, S., Witkiewitz, K., Grasman, R., & Maisto, S. (). The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods, 20(1), 142-164. https://doi.org/10.1037/a0038962
Filevich, E., Dresler, M., Brick, T., & Kühn, S. (). Metacognitive mechanisms underlying lucid dreaming. Journal of Neuroscience, 35(3), 1082-1088. https://doi.org/10.1523/JNEUROSCI.3342-14.2015
Mårtensson, J., Eriksson, J., Brick, T., Lindgren, M., Johansson, M., Nyberg, L., & Lovdén, M. (). Proficiency and brain structure during intense language learning: Microstructures of Learning Novel methods and approaches for assessing structural and functional changes underlying knowledge acquisition in the brain. .
Van Der Ark, L., Bolt, D., Wang, W., Douglas, J., & Chow, S. (). Preface. Springer Proceedings in Mathematics and Statistics, 140, V. https://doi.org/10.1007/978-3-319-19977-1