{"title":"pypfilt: a particle filter for Python","authors":"Robert Moss","doi":"10.21105/joss.06276","DOIUrl":null,"url":null,"abstract":"Mathematical models are used to simulate real-world systems in many scientific fields. These models can be fitted to real-time data, and used to generate probabilistic forecasts that describe how the system will behave in the future and convey the uncertainty in these predictions.","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open source software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21105/joss.06276","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
Mathematical models are used to simulate real-world systems in many scientific fields. These models can be fitted to real-time data, and used to generate probabilistic forecasts that describe how the system will behave in the future and convey the uncertainty in these predictions.
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