{"title":"On stationarity of elementary bilinear time-series","authors":"Lukasz Malinski, J. Figwer","doi":"10.1109/MMAR.2011.6031336","DOIUrl":null,"url":null,"abstract":"In the paper stationarity of random processes obtained from elementary bilinear time-series models is analysed. It is shown in the presented analysis that elementary bilinear time-series models can be interpreted as linear time-series with time varying random parameters. The analysis is illustrated by simulation experiments showing time dependencies of some statistical moments of the discussed random processes.","PeriodicalId":440376,"journal":{"name":"2011 16th International Conference on Methods & Models in Automation & Robotics","volume":"266 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 16th International Conference on Methods & Models in Automation & Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2011.6031336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In the paper stationarity of random processes obtained from elementary bilinear time-series models is analysed. It is shown in the presented analysis that elementary bilinear time-series models can be interpreted as linear time-series with time varying random parameters. The analysis is illustrated by simulation experiments showing time dependencies of some statistical moments of the discussed random processes.