{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105075"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105075","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Modeling preference noise and response noise in risky choice: Commentary on Bhatia and Loomes (2017)","abstract":"DSpace SAF Submission Ingestion Package generated from Vireo submission #13833 on 2019-08-22 at 15:07:49","abstract_html":"DSpace SAF Submission Ingestion Package generated from Vireo submission #13833 on 2019-08-22 at 15:07:49","abstract_has_math":false,"creators":["Fields, Bryanna"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Regenwetter, Michel","Köhn, Hans-Friedrich"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T20:36:06Z","date_published":"2019-08-23T20:36:06Z","updated_at":"2026-07-22T22:24:44Z","subjects":["Decision making, modeling noise, nonparametric models"],"languages":["en"],"rights":["Copyright 2019 Bryanna Fields"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105075","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Regenwetter, Michel","Köhn, Hans-Friedrich"]},{"key":"dc:creator","label":"Author","values":["Fields, Bryanna"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T20:36:06Z","2021-08-24T09:15:10Z","2019-04-23","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Decision making, modeling noise, nonparametric models"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Bryanna Fields"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105075"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["DSpace SAF Submission Ingestion Package generated from Vireo submission #13833 on 2019-08-22 at 15:07:49","Made available in DSpace on 2019-08-23T20:36:06Z (GMT). No. of bitstreams: 2 FIELDS-THESIS-2019.pdf: 737198 bytes, checksum: 5b9ac24f224376e7b3df56833cb96dd6 (MD5) LICENSE.txt: 4211 bytes, checksum: 9b6ac20173914e2a9b08e8a347559bdc (MD5) Previous issue date: 2019-04-23","Embargo set by: Seth Robbins for item 112194 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 112194 on 2021-08-24T09:15:10Z.","\"Decision making research often heavily relies on deterministic modeling approaches. However, choice data are stochastic and therefore need to be modeled probabilistically. According to one probabilistic modeling approach, a decision maker has a fixed preference, but makes errors when selecting the utility-maximizing option. In another approach, a decision maker makes no errors, but his preference itself is probabilistic. Bhatia and Loomes (2017) refer to the first approach as \"\"response noise\"\" and the second approach as \"\"preference noise.\"\" To avoid incorrect conclusions of a decision maker's underlying preferences, Bhatia and Loomes (2017) strongly advocate for modeling both types of noise simultaneously. In this commentary, we discuss the methods of Bhatia and Loomes (2017) and revisit a hybrid model, which models response and preference noise simultaneously, to address some limitations of these methods. Furthermore, we illustrate the hybrid model, discuss further refinements to the model, and illustrate model fit using data from hypothetical decision makers.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Bryanna Fields, accepted the attached license on 2019-04-22 at 20:15.","The student, Bryanna Fields, submitted this Thesis for approval on 2019-04-22 at 20:25.","This Thesis was approved for publication on 2019-04-23 at 17:39."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Modeling preference noise and response noise in risky choice: Commentary on Bhatia and Loomes (2017)"]}]}],"canonical_facts":{"dc:contributor":["Regenwetter, Michel","Köhn, Hans-Friedrich"],"dc:creator":["Fields, Bryanna"],"dc:date":["2019-08-23T20:36:06Z","2021-08-24T09:15:10Z","2019-04-23","2019-05"],"dc:description":["DSpace SAF Submission Ingestion Package generated from Vireo submission #13833 on 2019-08-22 at 15:07:49","Made available in DSpace on 2019-08-23T20:36:06Z (GMT). No. of bitstreams: 2 FIELDS-THESIS-2019.pdf: 737198 bytes, checksum: 5b9ac24f224376e7b3df56833cb96dd6 (MD5) LICENSE.txt: 4211 bytes, checksum: 9b6ac20173914e2a9b08e8a347559bdc (MD5) Previous issue date: 2019-04-23","Embargo set by: Seth Robbins for item 112194 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only Restriction Lifted for Item 112194 on 2021-08-24T09:15:10Z.","\"Decision making research often heavily relies on deterministic modeling approaches. However, choice data are stochastic and therefore need to be modeled probabilistically. According to one probabilistic modeling approach, a decision maker has a fixed preference, but makes errors when selecting the utility-maximizing option. In another approach, a decision maker makes no errors, but his preference itself is probabilistic. Bhatia and Loomes (2017) refer to the first approach as \"\"response noise\"\" and the second approach as \"\"preference noise.\"\" To avoid incorrect conclusions of a decision maker's underlying preferences, Bhatia and Loomes (2017) strongly advocate for modeling both types of noise simultaneously. In this commentary, we discuss the methods of Bhatia and Loomes (2017) and revisit a hybrid model, which models response and preference noise simultaneously, to address some limitations of these methods. Furthermore, we illustrate the hybrid model, discuss further refinements to the model, and illustrate model fit using data from hypothetical decision makers.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Bryanna Fields, accepted the attached license on 2019-04-22 at 20:15.","The student, Bryanna Fields, submitted this Thesis for approval on 2019-04-22 at 20:25.","This Thesis was approved for publication on 2019-04-23 at 17:39."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/105075"],"dc:language":["en"],"dc:rights":["Copyright 2019 Bryanna Fields"],"dc:subject":["Decision making, modeling noise, nonparametric models"],"dc:title":["Modeling preference noise and response noise in risky choice: Commentary on Bhatia and Loomes (2017)"],"dc:type":["text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:44Z"}