A Flexible and Efficient Hierarchical Bayesian Approach to the Exploration of Individual Differences in Cognitive-model-based Neuroscience-Reference-Cited by-同舟云学术

A Flexible and Efficient Hierarchical Bayesian Approach to the Exploration of Individual Differences in Cognitive-model-based Neuroscience

Author:

Ly Alexander¹,Boehm Udo²,Heathcote Andrew³,Turner Brandon M.⁴,Forstmann Birte⁵⁶,Marsman Maarten¹,Matzke Dora¹

Affiliation:

1. Psychological Methods, Department of Psychology; University of Amsterdam; Amsterdam The Netherlands

2. Department of Experimental Psychology; University of Groningen; Groningen The Netherlands

3. Division of Psychology, School of Medicine; University of Tasmania; Hobart Australia

4. Psychology Department; Ohio State University; Columbus OH USA

5. Amsterdam Brain and Cognition Center; University of Amsterdam; Amsterdam The Netherlands

6. Netherlands Institute for Neuroscience; Institute of the Royal Netherlands Academy of Arts and Sciences; Amsterdam The Netherlands

Publisher

John Wiley & Sons, Ltd

Reference32 articles.

2. Boehm , U. Marsman , M. Matzke , D. Wagenmakers , E.-J. On the importance of avoiding shortcuts in modeling hierarchical data

4. Stein's paradox in statistics;Efron;Scientific American,1977

5. Striatum and pre-SMA facilitate decision-making under time pressure;Forstmann;Proceedings of the National Academy of Sciences of the United States of America,2008

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献