{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/continuous-time-evidential-distributions-for","title":"Continuous Time Evidential Distributions for Irregular Time Series","arxiv_id":"2307.13503","date":"2023-07-25","proceeding":null,"authors":["Taylor W. Killian","Haoran Zhang","Thomas Hartvigsen","Ava P. Amini"],"abstract":"Prevalent in many real-world settings such as healthcare, irregular time series are challenging to formulate predictions from. 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