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Logistic regression / Statistical theory / Estimation theory / Econometrics / Statistics / Regression analysis / Categorical data


Stochastic Choice: An Optimizing Neuroeconomic Model Michael Woodford∗ January 28, 2014 Abstract
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Document Date: 2014-07-28 22:25:12


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City

Cambridge / Amsterdam / New York / /

Company

Oxford University Press / MIT Press / /

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Facility

Columbia University / /

IndustryTerm

food items / required processing capacity / given algorithm / perceptual applications / sequential information processing / stochastic processing errors / information-processing capacity / accumulation-to-bound algorithms / cognitive processing / /

Organization

Columbia University / Federal Reserve Bank of Dallas / New Foundation / Department of Economics / MIT / Oxford University / Institute for New Economic Thinking / /

Person

Michael Woodford∗ January / Roozbeh Kiani / Ian Krajbich / Anna Popova / Joy A. Thomas / Anton / Paul Zarembka / Carrie Armel / Michael Shadlen / Cover / Nathaniel T. Wilcox / Bastiaan Oud / Anne K. Churchland / Rajesh P.N. Rao / Timothy D. Hanks / Michael Woodford / Kenji Doya / Antonio Rangel / John A. Swets / Alexandre Pouget / Ernst Fehr / Shin Ishii / Stephen Morris / Tianming Yang / T. Parker / Benjamin M. Friedman / /

Position

Optimizing Neuroeconomic Model / /

ProvinceOrState

New York / /

PublishedMedium

Journal of Economic Perspectives / Nature Neuroscience / /

Technology

Neuroscience / 1 1 Accumulation-to-Bound Algorithms / given algorithm / 1 algorithms / accumulation-to-bound algorithms / /

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