Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Ingmar Visser"'
Autor:
Nicolás Alessandroni, Drew Altschul, Marina Bazhydai, Krista Byers-Heinlein, Mahmoud Elsherif, Biljana Gjoneska, Ludwig Huber, Valeria Mazza, Rachael Miller, Christian Nawroth, Ekaterina Pronizius, Muhammad A. J. Qadri, Vedrana Šlipogor, Melanie Soderstrom, Jeffrey R. Stevens, Ingmar Visser, Madison Williams, Martin Zettersten, Laurent Prétôt
Publikováno v:
Comparative Cognition & Behavior Reviews, Vol 19, Pp 67-72 (2024)
Externí odkaz:
https://doaj.org/article/dbee2867623a47439246adceebe2f0ee
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Adolescence is characterized by a surge in maladaptive risk-taking behaviors, but whether and how this relates to developmental changes in experience-based learning is largely unknown. In this preregistered study, we addressed this issue usi
Externí odkaz:
https://doaj.org/article/fb308b791f0245408ac5346e7939f9cc
Publikováno v:
Journal of Eye Movement Research, Vol 15, Iss 1 (2022)
Eye-tracking allows researchers to infer cognitive processes from eye movements that areclassified into distinct events. Parsing the events is typically done by algorithms. Previousalgorithms have successfully used hidden Markov models (HMMs) for cla
Externí odkaz:
https://doaj.org/article/8ca39af147cd4158b194d5bfdf1f1cdf
Publikováno v:
Statistical Theory and Related Fields, Vol 3, Iss 1, Pp 2-13 (2019)
We present a new approach to model selection and Bayes factor determination, based on Laplace expansions (as in BIC), which we call Prior-based Bayes Information Criterion (PBIC). In this approach, the Laplace expansion is only done with the likeliho
Externí odkaz:
https://doaj.org/article/6794673677d64646a562365711cf825b
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 9, p e1008276 (2020)
Healthy adults flexibly adapt their learning strategies to ongoing changes in uncertainty, a key feature of adaptive behaviour. However, the developmental trajectory of this ability is yet unknown, as developmental studies have not incorporated trial
Externí odkaz:
https://doaj.org/article/a3471e4b054c4aea9efbc4fd317e3e99
Publikováno v:
Journal of Eye Movement Research, Vol 13, Iss 1 (2020)
Systematic tendencies such as the center and horizontal bias are known to have a large influence on how and where we move our eyes during static onscreen free scene viewing. However, it is unknown whether these tendencies are learned viewing strategi
Externí odkaz:
https://doaj.org/article/0a8bb3973b9540daabaa1ea8a8f29911
Autor:
Šimon Kucharský, Ingmar Visser, Gabriela-Olivia Truțescu, Paulo Guirro Laurence, Martina Zaharieva, Maartje E. J. Raijmakers
Publikováno v:
Journal of Eye Movement Research, Vol 13, Iss 1 (2020)
In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the st
Externí odkaz:
https://doaj.org/article/e9001158c2774dfd8d90bf1458f73be2
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0195019 (2018)
This study investigated the development of young children's causal inference by studying variability in behavior. Two possible sources of variability, strategy use and accuracy in strategy execution, were discriminated and related to age. To this end
Externí odkaz:
https://doaj.org/article/ec515b6cf29d4567ab051a46bd138e3a
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0136449 (2015)
We propose and test three statistical models for the analysis of children's responses to the balance scale task, a seminal task to study proportional reasoning. We use a latent class modelling approach to formulate a rule-based latent class model (RB
Externí odkaz:
https://doaj.org/article/a9d7b0cb22fb4016a3ea208a89dd095f
Autor:
Ingmar Visser, Maarten Speekenbrink
Publikováno v:
Journal of Statistical Software, Vol 36, Iss 07 (2010)
depmixS4 implements a general framework for defining and estimating dependent mixture models in the R programming language. This includes standard Markov models, latent/hidden Markov models, and latent class and finite mixture distribution models. Th
Externí odkaz:
https://doaj.org/article/e0e3da6da36d4989bbae522585ec0a68