Assessing the possibility of a country's economic growth using static Bayesian network models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43895561" target="_blank" >RIV/44555601:13440/20:43895561 - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85085501903&origin=SingleRecordEmailAlert&dgcid=raven_sc_author_en_us_email&txGid=834a6a312efd66142bce6632c7b5296e" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85085501903&origin=SingleRecordEmailAlert&dgcid=raven_sc_author_en_us_email&txGid=834a6a312efd66142bce6632c7b5296e</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Assessing the possibility of a country's economic growth using static Bayesian network models

Original language description

This article is devoted to the use of Bayesian networks to analyze the possibility of economic growth in Ukraine. It was found that at the maximum level of external investment, direct investment in Ukraine will increase and this creates the conditions for increasing the country&apos;s economic growth. It has also been shown that Noisy-max nodes, compared to General nodes, provide a relatively high initial accuracy. General nodes require retesting. However, Noisy-max nodes entail an increase in time and computational cost.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Article name in the collection

CEUR Workshop Proceedings

ISBN

—

ISSN

1613-0073

e-ISSN

—

Number of pages

12

Pages from-to

462-473

Publisher name

CEUR-WS

Place of publication

Německo

Event location

Zaporizhzhia

Event date

Apr 27, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—