COMPARISON OF APPROACHES TO ESTIMATION OF TRANSITION MATRIX FOR THE TERRORIST THREAT MARKOV MODEL

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00536308" target="_blank" >RIV/60162694:G42__/18:00536308 - isvavai.cz</a>

Výsledek na webu

<a href="https://stumejournals.com/journals/mm/2018/3" target="_blank" >https://stumejournals.com/journals/mm/2018/3</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

COMPARISON OF APPROACHES TO ESTIMATION OF TRANSITION MATRIX FOR THE TERRORIST THREAT MARKOV MODEL

Popis výsledku v původním jazyce

Markovian models are often used in modelling a time development of random phenomena. When modelling real world scenarios it is reasonable to assume that the respective phenomena may not be time homogeneous. Based on the sociological and security research, it can be assumed that there is a link between a destabilisation of a society of a given geographical region and the acts of terrorism. This link is utilised in construction of a model for description of the intensity of a terrorist threat based on given determinants/indicators of societal stability. The model is based on the theory of discrete non-homogeneous Markov chains. The theory of generalised linear models (GLMs) is used in the estimation of the probabilities of the categorised level of the terrorist threat. In the contribution the use of different estimates of the categorised level of terrorist threat probabilities is studied. The estimates are determined by GLMs with different input parameters. The influence of the resulting estimate on the transition matrix of the non-homogeneous Markov chain is assessed. Additionally, a real world example utilising the data from Global Terrorism Database of University of Maryland and Organisation for Economical Cooperation and Development is presented.

Název v anglickém jazyce

COMPARISON OF APPROACHES TO ESTIMATION OF TRANSITION MATRIX FOR THE TERRORIST THREAT MARKOV MODEL

Popis výsledku anglicky

Markovian models are often used in modelling a time development of random phenomena. When modelling real world scenarios it is reasonable to assume that the respective phenomena may not be time homogeneous. Based on the sociological and security research, it can be assumed that there is a link between a destabilisation of a society of a given geographical region and the acts of terrorism. This link is utilised in construction of a model for description of the intensity of a terrorist threat based on given determinants/indicators of societal stability. The model is based on the theory of discrete non-homogeneous Markov chains. The theory of generalised linear models (GLMs) is used in the estimation of the probabilities of the categorised level of the terrorist threat. In the contribution the use of different estimates of the categorised level of terrorist threat probabilities is studied. The estimates are determined by GLMs with different input parameters. The influence of the resulting estimate on the transition matrix of the non-homogeneous Markov chain is assessed. Additionally, a real world example utilising the data from Global Terrorism Database of University of Maryland and Organisation for Economical Cooperation and Development is presented.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Mathematical modeling

ISSN

2535-0986

e-ISSN

2603-2929

Svazek periodika

2

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

BG - Bulharská republika

Počet stran výsledku

4

Strana od-do

112-115

Kód UT WoS článku

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EID výsledku v databázi Scopus

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