Bayesian cognitive modeling: a practical course
Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching a...
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
[2013]
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Schlagwörter: | |
Links: | https://doi.org/10.1017/CBO9781139087759 https://doi.org/10.1017/CBO9781139087759 https://doi.org/10.1017/CBO9781139087759 https://doi.org/10.1017/CBO9781139087759 https://doi.org/10.1017/CBO9781139087759 https://doi.org/10.1017/CBO9781139087759 |
Zusammenfassung: | Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions |
Umfang: | 1 Online-Ressource (xiii, 264 Seiten) Illustrationen, Diagramme |
ISBN: | 9781139087759 |
DOI: | 10.1017/CBO9781139087759 |
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Datensatz im Suchindex
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any_adam_object | |
author | Lee, Michael D. 19XX- |
author_GND | (DE-588)1059428504 (DE-588)1059428679 |
author_facet | Lee, Michael D. 19XX- |
author_role | aut |
author_sort | Lee, Michael D. 19XX- |
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building | Verbundindex |
bvnumber | BV043695660 |
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dewey-full | 153.01519542 |
dewey-hundreds | 100 - Philosophy & psychology |
dewey-ones | 153 - Conscious mental processes & intelligence |
dewey-raw | 153.01519542 |
dewey-search | 153.01519542 |
dewey-sort | 3153.01519542 |
dewey-tens | 150 - Psychology |
discipline | Soziologie Psychologie |
doi_str_mv | 10.1017/CBO9781139087759 |
format | Electronic eBook |
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id | DE-604.BV043695660 |
illustrated | Illustrated |
indexdate | 2024-12-20T17:42:51Z |
institution | BVB |
isbn | 9781139087759 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029108230 |
oclc_num | 951202647 |
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physical | 1 Online-Ressource (xiii, 264 Seiten) Illustrationen, Diagramme |
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spelling | Lee, Michael D. 19XX- Verfasser (DE-588)1059428504 aut Bayesian cognitive modeling a practical course Michael D. Lee, Eric-Jan Wagenmakers Cambridge Cambridge University Press [2013] 1 Online-Ressource (xiii, 264 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions Mathematisches Modell Cognitive science / Mathematical models Bayesian statistical decision theory Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Kognitiver Prozess (DE-588)4140177-3 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Kognitiver Prozess (DE-588)4140177-3 s Mathematisches Modell (DE-588)4114528-8 s Bayes-Verfahren (DE-588)4204326-8 s DE-604 Wagenmakers, Eric-Jan 1972- Sonstige (DE-588)1059428679 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-01845-7 Erscheint auch als Druck-Ausgabe, Paperback 978-1-107-60357-8 https://doi.org/10.1017/CBO9781139087759 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Lee, Michael D. 19XX- Bayesian cognitive modeling a practical course Mathematisches Modell Cognitive science / Mathematical models Bayesian statistical decision theory Mathematisches Modell (DE-588)4114528-8 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
subject_GND | (DE-588)4114528-8 (DE-588)4140177-3 (DE-588)4204326-8 |
title | Bayesian cognitive modeling a practical course |
title_auth | Bayesian cognitive modeling a practical course |
title_exact_search | Bayesian cognitive modeling a practical course |
title_full | Bayesian cognitive modeling a practical course Michael D. Lee, Eric-Jan Wagenmakers |
title_fullStr | Bayesian cognitive modeling a practical course Michael D. Lee, Eric-Jan Wagenmakers |
title_full_unstemmed | Bayesian cognitive modeling a practical course Michael D. Lee, Eric-Jan Wagenmakers |
title_short | Bayesian cognitive modeling |
title_sort | bayesian cognitive modeling a practical course |
title_sub | a practical course |
topic | Mathematisches Modell Cognitive science / Mathematical models Bayesian statistical decision theory Mathematisches Modell (DE-588)4114528-8 gnd Kognitiver Prozess (DE-588)4140177-3 gnd Bayes-Verfahren (DE-588)4204326-8 gnd |
topic_facet | Mathematisches Modell Cognitive science / Mathematical models Bayesian statistical decision theory Kognitiver Prozess Bayes-Verfahren |
url | https://doi.org/10.1017/CBO9781139087759 |
work_keys_str_mv | AT leemichaeld bayesiancognitivemodelingapracticalcourse AT wagenmakersericjan bayesiancognitivemodelingapracticalcourse |