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Performance of Kullback-Leibler Based Expert Opinion Pooling for Unlikely Events

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00479432" target="_blank" >RIV/67985556:_____/17:00479432 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance of Kullback-Leibler Based Expert Opinion Pooling for Unlikely Events

  • Original language description

    The aggregation of available information is of great importance in many branches of economics,nsocial sciences. Often, we can only rely on experts’ opinions, i.e. probabilities assigned to possible events. To deal with opinions in probabilistic form, we focus on the Kullback-Leibler (KL) divergence based pools: linear, logarithmic and KL-pool (Seckarova, 2015). Since occurrence of events is subject to random influences of the real world, it is important to address events assigned lower probabilities (unlikely events). This is done by choosing pooling with a higher entropy than standard linear or logarithmic options, i.e. the KL-pool. We show how well the mentioned pools perform on real data using absolute error, KL-divergence and quadratic reward. In cases favoring events assigned higher probabilities, the KL-pool performs similarly to the linear pool and outperforms the logarithmic pool. When unlikely events occur, the KL-pool outperforms both pools, which makes it a reasonable way of pooling.n

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA16-09848S" target="_blank" >GA16-09848S: Rationality and Deliberation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers

  • ISBN

  • ISSN

    1938-7228

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    41-50

  • Publisher name

    JMLR

  • Place of publication

    Cambridge

  • Event location

    Barcelona

  • Event date

    Dec 9, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article