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Alternative approach to density function estimations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10236538" target="_blank" >RIV/61989100:27510/17:10236538 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Alternative approach to density function estimations

  • Original language description

    Reliable decision making in finance requires sufficient knowledge about the analyzed quantities, including the type and shape of their probability distribution. In this contribution we discuss and apply an alternative way to density function estimation based on F-transform considering standard processes as well as Lévy processes. The novel approach using smoothing filter utilizing the theory of fuzzy numbers can be of a great value especially under abnormal circumstances, such as missing data, non-standard data or big data problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GA13-13142S" target="_blank" >GA13-13142S: Verification of suitability of particular Lévy models for selected issues of financial modeling</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

    CIE 47 : proceedings of the 47th international conference on computers &amp;amp; industrial engineering : October 11-13, 2017, Lisbon, Portugal

  • ISBN

    978-0-00-000000-2

  • ISSN

    2164-8689

  • e-ISSN

    2164-8689

  • Number of pages

    8

  • Pages from-to

    1-8

  • Publisher name

    University Nova of Lisbon

  • Place of publication

    Lisabon

  • Event location

    Lisabon

  • Event date

    Oct 11, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article