{"title":"A DYNAMIC-STOCHASTIC PRINCIPLE OF MATHEMATICAL SIMULATION","authors":"Yu. A. Gusman, Y. Pichugin","doi":"10.31799/978-5-8088-1558-2-2021-2-19-23","DOIUrl":null,"url":null,"abstract":"The paper considers the dynamic-stochastic approach to the construction and use of predictive models, which is based on the stochastic nature of model parameter estimates. A mathematical apparatus for generating perturbations of model parameters in accordance with their probability distribution is proposed.","PeriodicalId":297099,"journal":{"name":"The Second All-Russian Scientific Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second All-Russian Scientific Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31799/978-5-8088-1558-2-2021-2-19-23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper considers the dynamic-stochastic approach to the construction and use of predictive models, which is based on the stochastic nature of model parameter estimates. A mathematical apparatus for generating perturbations of model parameters in accordance with their probability distribution is proposed.
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