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MARKOV MODEL FOR DESCRIPTION OF THE INTENSITY OF THE TERRORIST THREAT

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00536060" target="_blank" >RIV/60162694:G42__/18:00536060 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    MARKOV MODEL FOR DESCRIPTION OF THE INTENSITY OF THE TERRORIST THREAT

  • Original language description

    Terrorist attacks and threat of terrorism are connected with desta- bilization of the threatened societies. The statistical model enabling to predict the risk of the terrorist threat based on given determinants/indicators will be presented. The indicators of the threat of terrorism can be classified into the following categories: economical, social, demographical, political and security. The model is based on the theory of discrete, time nonhomogeneous Markov chains with a finite state space. The theory of generalized linear models is used for estimation of probabilities of the categorized level of terrorist threat. Then the transition probabilities of Markov chain are chosen with regards to the value of the indicators for given time period and considered region. The computed transition probabilities are used for estimation of the intensity (risk category) of terrorism threat. The verification of the model is carried out via simula- tion. Other data used for model verification come from the Global Terrorism Database of University of Maryland. The computational implementation of the suggested model is carried out in the R programming language.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    XXXII International Conference PDMU Problems of Decision Making under Uncertainties (proceedings)

  • ISBN

    978-80-7582-069-3

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    183-189

  • Publisher name

    Univerzita Obrany, Brno

  • Place of publication

    Česká Republika

  • Event location

    Praha

  • Event date

    Aug 27, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article