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...

Full description

Bibliographic Details
Main Authors: Mueller, Jonas, Jaakkola, Tommi, Gifford, David
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Informa UK Limited 2021
Online Access:https://hdl.handle.net/1721.1/135779