Modeling Persistent Trends in Distributions

@inproceedings{Mueller2017ModelingPT,
  title={Modeling Persistent Trends in Distributions},
  author={Jonas Mueller and Tommi S. Jaakkola and David Gifford},
  year={2017}
}
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 sequentialprogression effects, our approach leverages an assumption that these effects follow a persistent… CONTINUE READING