Simon Preston

Improved classification for compositional data using the $\alpha$-transformation

2015 · arXiv (Cornell University)

In compositional data analysis an observation is a vector containing non-negative values, only the relative sizes of which are considered to be of interest. Without loss of generality, a compositional vector can be taken to …

Classification and clustering for observations of event time data using non-homogeneous Poisson process models

2017 · arXiv (Cornell University)

Data of the form of event times arise in various applications. A simple model for such data is a non-homogeneous Poisson process (NHPP) which is specified by a rate function that depends on time. We …