Francis Tuerlinckx

Affiliations: 
Department of Psychology University of Leuven, Belgium 
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Wiech K, Eippert F, Vandekerckhove J, et al. (2021) Cortico-brainstem mechanisms of biased perceptual decision-making in the context of pain. The Journal of Pain
Loossens T, Dejonckheere E, Tuerlinckx F, et al. (2021) Informing VAR(1) with qualitative dynamical features improves predictive accuracy. Psychological Methods
Loossens T, Meers K, Vanhasbroeck N, et al. (2021) Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPU. Behavior Research Methods
Loossens T, Tuerlinckx F, Verdonck S. (2021) A comparison of continuous and discrete time modeling of affective processes in terms of predictive accuracy. Scientific Reports. 11: 6218
Loossens T, Mestdagh M, Dejonckheere E, et al. (2020) The Affective Ising Model: A computational account of human affect dynamics. Plos Computational Biology. 16: e1007860
Lafit G, Tuerlinckx F, Myin-Germeys I, et al. (2019) A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical Models. Scientific Reports. 9: 17759
Mestdagh M, Verdonck S, Meers K, et al. (2019) Prepaid parameter estimation without likelihoods. Plos Computational Biology. 15: e1007181
van den Bergh D, Tuerlinckx F, Verdonck S. (2019) DstarM: an R package for analyzing two-choice reaction time data with the D∗M method. Behavior Research Methods
Dejonckheere E, Mestdagh M, Houben M, et al. (2019) Complex affect dynamics add limited information to the prediction of psychological well-being. Nature Human Behaviour
Gvaladze S, De Roover K, Tuerlinckx F, et al. (2019) Detecting which variables alter component interpretation across multiple groups: A resampling-based method. Behavior Research Methods
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