Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tim Loossens"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Intra-individual processes are thought to continuously unfold across time. For equally spaced time intervals, the discrete-time lag-1 vector autoregressive (VAR(1)) model and the continuous-time Ornstein–Uhlenbeck (OU) model are equivalent
Externí odkaz:
https://doaj.org/article/18c52030855f4ce0a6c94c8bbd103da3
Autor:
Tim Loossens, Merijn Mestdagh, Egon Dejonckheere, Peter Kuppens, Francis Tuerlinckx, Stijn Verdonck
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 5, p e1007860 (2020)
The human affect system is responsible for producing the positive and negative feelings that color and guide our lives. At the same time, when disrupted, its workings lie at the basis of the occurrence of mood disorder. Understanding the functioning
Externí odkaz:
https://doaj.org/article/e228dd03612941e28c956378381c4efc
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 9, p e1007181 (2019)
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they are often painstakingly slow and convergence is difficult to as
Externí odkaz:
https://doaj.org/article/731981b6f1c641bbb91d854e920ddbb8
Most contemporary theories of sensorimotor decision-making formalize the process leading up to a decision as a gradual accumulation of noisy stimulus information over time. The resulting evidence signal is thought to be continuously tested against an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e287afe8d86ab0b1c4fd4f81de8078d6
https://doi.org/10.1101/2022.05.16.492075
https://doi.org/10.1101/2022.05.16.492075
Autor:
Ginette Lafit, Wolf Vanpaemel, Francis Tuerlinckx, Richard Artner, Tim Loossens, Paul P. Wellingerhof
Publikováno v:
Communications in Statistics - Theory and Methods. 51:4133-4150
The correlational structure of a set of variables is often conveniently described by the pairwise partial correlations as they contain the same information as the Pearson correlations with the advantage of straightforward identifications of condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136374e2e3f1b7ad1b4f6a4908a1450c
https://doi.org/10.1080/03610926.2020.1811338
https://doi.org/10.1080/03610926.2020.1811338
The AR(1) model has been shown to outperform the general VAR(1) model on typical affective time series. Even in combination with a lasso penalty, the reduced VAR(1) model (VAR-lasso) is generally outperformed. A reason for the AR dominance is that th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edec7f2c43fef33abe696ae9a0e989bb
https://lirias.kuleuven.be/handle/123456789/671874
https://lirias.kuleuven.be/handle/123456789/671874
Autoregressive and vector autoregressive models are a driving force in current psychological research. In affect research they are, for instance, frequently used to formalize affective processes and estimate affective dynamics. Discrete-time model va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa2077b68244d352317da3519008e94
https://lirias.kuleuven.be/handle/123456789/669292
https://lirias.kuleuven.be/handle/123456789/669292
Autor:
Niels Vanhasbroeck, Tim Loossens, Nil Anarat, Sigert Ariens, Wolf Vanpaemel, Agnes Moors, Francis Tuerlinckx
Publikováno v:
Affective science. 3(3)
The way in which emotional experiences change over time can be studied through the use of computational models. An important question with regard to such models is which characteristics of the data a model should account for in order to adequately de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a253b123e4057b2e2dac72f40e218c5
https://pubmed.ncbi.nlm.nih.gov/36385907
https://pubmed.ncbi.nlm.nih.gov/36385907
Publikováno v:
Affect Dynamics ISBN: 9783030829643
Computational models of affect dynamics are ubiquitous. These models are appropriate for either exploring intensive longitudinal data or testing theories about affect dynamics. In this chapter, we give a brief overview of some of the computational mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ab2859020f14a09764be29a2c080e8
https://doi.org/10.1007/978-3-030-82965-0_10
https://doi.org/10.1007/978-3-030-82965-0_10
Publikováno v:
Psychological review. 128(2)
A common assumption in choice response time (RT) modeling is that after evidence accumulation reaches a certain decision threshold, the choice is categorically communicated to the motor system that then executes the response. However, neurophysiologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69815389d69198af64fba6746af0ca07
https://pubmed.ncbi.nlm.nih.gov/32915011
https://pubmed.ncbi.nlm.nih.gov/32915011