{"pk":27991,"title":"A graph-based model to discover preference structure from choice data","subtitle":null,"abstract":"In this paper we demonstrate how to use graph matching touncover heterogeneity in the structure of preferences acrossa population of decision-makers. We propose a novel non-parametric approach to formally capture the concept of pref-erence structure using preference graphs, thereafter clusteringdecision-makers based on graph embedding methods. We ex-plore the approach with simulated choice and empirical datafrom the most common classes of economic and psychologicalmodels. The approach uncovers heterogeneity in preferencestructure across a variety of dimensions, without requiring anyprior knowledge of those structures.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Heuristics; Preference Structure; Graph Matching;Clustering; Transitivity"}],"section":"Publication-based-Talks","is_remote":true,"remote_url":"https://escholarship.org/uc/item/8rb400pg","frozenauthors":[{"first_name":"Cristobal","middle_name":"","last_name":"De La Maza","name_suffix":"","institution":"Carnegie Mellon","department":""},{"first_name":"Alex","middle_name":"","last_name":"Davis","name_suffix":"","institution":"Carnegie Mellon","department":""},{"first_name":"Cleotilde","middle_name":"","last_name":"Gonzalez","name_suffix":"","institution":"Carnegie Mellon","department":""},{"first_name":"Inˆes","middle_name":"","last_name":"Azevedo","name_suffix":"","institution":"Carnegie Mellon","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2018-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/27991/galley/17630/download/"}]}