Modeling Persistent Trends in Distributions

© 2018, © 2018 American Statistical Association. We present a nonparametric framework to model a short sequence of probability distributions that vary both due to underlying effects of sequential progression and confounding noise. To distinguish between these two types of variation and estimate the...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mueller, Jonas, Jaakkola, Tommi, Gifford, David
Άλλοι συγγραφείς: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Informa UK Limited 2021
Διαθέσιμο Online:https://hdl.handle.net/1721.1/135779