Midlands State University Library

The best choice problem under ambiguity (Record no. 164453)

MARC details
000 -LEADER
fixed length control field 01449nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319132741.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240319b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB119 ECO
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tatjana Chudjakow & Frank Riedel
Relator term author
245 14 - TITLE STATEMENT
Title The best choice problem under ambiguity
Statement of responsibility, etc. by Tatjana Chudjakow and Frank Riedel
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Heildelberg :
Name of producer, publisher, distributor, manufacturer Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2013
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Economic theory
Volume/sequential designation Volume 54, number 1
520 ## - SUMMARY, ETC.
Summary, etc. We model and solve best choice problems in the multiple prior framework: An ambiguity averse decision maker aims to choose the best among a fixed number of applicants that appear sequentially in a random order. The agent faces ambiguity about the probability that a candidate—a relatively top applicant—is actually best among all applicants. We show that our model covers the classical secretary problem, but also other interesting classes of problems. We provide a closed form solution of the problem for time-consistent priors using backward induction. As in the classical case, the derived stopping strategy is simple. Ambiguity can lead to substantial differences to the classical threshold rule.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ambiguity
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Riedel, Frank
Relator term co-author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier 10.1007/s00199-012-0715-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 04/09/2014 vol. 54, no. 2 (pages 77-98)   HB119 ECO 19/03/2024 SP21036 19/03/2024 Journal Article For In house Use