{"title":"pypfilt: Python 粒子过滤器","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":"{\"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}","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}
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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