All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Predictors of Time Series Based on Bayesian Methods - an Application

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F05%3A%230000177" target="_blank" >RIV/47813059:19240/05:#0000177 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictors of Time Series Based on Bayesian Methods - an Application

  • Original language description

    Many stock price predictors transforming input (historical data) to output (forecasts) have been developed. Proposed contribution present an approach based on Baysian method, applied to stock price forecast which enables to predict stock prices when muchhistorical data are unavailable or where the users of such information of processing systems might not be able to accumulate them. This article discusses the Bayesian method for forecasting, shows the basic approach to Bayesian estimation of constant processes and demonstrates its methodology. Finally, we present example illustrating the application of this approach.

  • Czech name

    Prediktory časových řad založené na bayesovské metodě - aplikace

  • Czech description

    Mnoho prediktorů bylo navrženo, které transformují vstup (historické data) do výstupu (předpovědi). V článku se prezentuje přístup, který je založen na Bayesové metodě a který je aplikován na predikci cen akcí v podmínkách, ve kterých nejsou dostupné naakumulované data, nebo je k dispozici jen málo historických dat. Článek prezentuje základní postup bayesovkého odhadu parametrů konstantního procesu a současně tento postup je aplikován.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA402%2F05%2F2768" target="_blank" >GA402/05/2768: Advanced statistical and econometric techniques for modelling and forecasting of economic time series</a><br>

  • Continuities

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

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Information, Control and Management Systems

  • ISSN

    1336-1716

  • e-ISSN

  • Volume of the periodical

    3

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    6

  • Pages from-to

    53-58

  • UT code for WoS article

  • EID of the result in the Scopus database