Publications

Found 14 results
Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is V  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Molenaar, P. C. M., & Lo, L. L.. (2016). Alternative Forms of Granger Causality, Heterogeneity, and Nonstationarity. In W. Wiedermann & von Eye, A. (Eds.), Statistics and Causality: Methods for Applied Empirical Research (pp. 203 - 229). Hoboken, NJ, USA: John Wiley & Sons, Inc. doi:10.1002/978111894707410.1002/9781118947074.ch9
Infurna, F. J., Gerstorf, D., Ram, N., & Heckhausen, J.. (2016). Analytic Strategies for the Study of Adaptation to Major Life Events: Making the Most of Large-Scale Longitudinal Surveys. In H. - P. Blossfeld, von Maurice, J., Bayer, M., & Skopek, J. (Eds.), Methodological Issues of Longitudinal Surveys (pp. 19 - 35). Wiesbaden: Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-11994-2_2
B
Oravecz, Z., Vandekerckhove, J., & BATCHELDER, W. H.. (2014). Bayesian Cultural Consensus Theory. Field Methods, 26(3), 207 - 222. presented at the Jan-08-2014. doi:10.1177/1525822X13520280
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J.. (2016). Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model. Multivariate Behavioral Research, 51(1), 106 - 119. presented at the Feb-01-2016. doi:10.1080/00273171.2015.1110512
D
Oravecz, Z., Muth, C., & Vandekerckhove, J.. (2016). Do People Agree on What Makes One Feel Loved? A Cognitive Psychometric Approach to the Consensus on Felt Love. (X. Weng, Ed.)PLOS ONE, 11(4), e0152803. presented at the Jan-04-2016. doi:10.1371/journal.pone.0152803
H
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J.. (2011). A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods, 16(4), 468 - 490. presented at the Jan-01-2011. doi:10.1037/a0024375
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J.. (2009). A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data. Psychometrika, 74(3), 395 - 418. presented at the Jan-09-2009. doi:10.1007/s11336-008-9106-8
M
Boker, S. M., Brick, T. R., Pritikin, J. N., Wang, Y., von Oertzen, T., Brown, D., et al.. (2015). Maintained Individual Data Distributed Likelihood Estimation (MIDDLE). Multivariate Behavioral Research, 50(6), 706 - 720. presented at the Feb-11-2015. doi:10.1080/00273171.2015.1094387
Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S. - M., Cole, P., et al.. (2017). Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation. The Journals of Gerontology: Series B. presented at the Feb-03-2017. doi:10.1093/geronb/gbx013
O
Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J. F., et al.. (2015). Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions. Cognitive Computation, 7(4), 397 - 413. presented at the Jan-08-2015. doi:10.1007/s12559-015-9326-z
S
Oravecz, Z., Huentelman, M., Vandekerckhove, J., & Jones, M.. (2016). Sequential Bayesian updating for Big Data. In Big Data in Cognitive Science: From Methods to Insights (pp. 13-33). Sussex, UK: Psychology Press (Taylor & Francis).
U
Ebner-Priemer, U. W., Houben, M., Santangelo, P., Kleindienst, N., Tuerlinckx, F., Oravecz, Z., et al.. (2015). Unraveling affective dysregulation in borderline personality disorder: A theoretical model and empirical evidence. Journal of Abnormal Psychology, 124(1), 186 - 198. presented at the Jan-01-2015. doi:10.1037/abn0000021
Ebner-Priemer, U. W., Houben, M., Santangelo, P., Kleindienst, N., Tuerlinckx, F., Oravecz, Z., et al.. (2015). Unraveling affective dysregulation in borderline personality disorder: A theoretical model and empirical evidence. Journal of Abnormal Psychology, 124(1), 186 - 198. presented at the Jan-01-2015. doi:10.1037/abn0000021