Have a personal or library account? Click to login
A Hierarchical Bayesian Implementation of the Experience-Weighted Attraction Model Cover

A Hierarchical Bayesian Implementation of the Experience-Weighted Attraction Model

Open Access
|Nov 2020

Authors

Zhihao Zhang

info@ubiquitypress.com

Haas School of Business, University of California, Berkeley, California; Social Science Matrix, University of California, Berkeley, California

Saksham Chandra

info@ubiquitypress.com

Department of Biostatistics, Yale University, New Haven, Connecticut

Andrew Kayser

info@ubiquitypress.com

Helen Wills Neuroscience Institute, University of California, Berkeley, California; Department of Neurology, University of California, San Francisco, California; Department of Neurology, VA Northern California Health Care System, Mather, California

Ming Hsu

info@ubiquitypress.com

Haas School of Business, University of California, Berkeley, California; Social Science Matrix, University of California, Berkeley, California; Helen Wills Neuroscience Institute, University of California, Berkeley, California

Joshua L. Warren

joshua.warren@yale.edu

Department of Biostatistics, Yale University, New Haven, Connecticut
Language: English
Submitted on: Feb 20, 2020
Accepted on: Aug 18, 2020
Published on: Nov 1, 2020
Published by: MIT Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Zhihao Zhang, Saksham Chandra, Andrew Kayser, Ming Hsu, Joshua L. Warren, published by MIT Press
This work is licensed under the Creative Commons Attribution 4.0 License.