Date of Award

May 2019

Degree Type

Thesis

Degree Name

Master of Science

Department

Mathematics

First Advisor

Daniel Gervini

Committee Members

David Spade, Chao Zhu

Abstract

This thesis proposes an outlier-resistant multiplicative component model for doubly stochastic point processes. The model is based on a principal component decomposition of the log-intensity functions, using heavy-tailed t-distributions for the component scores. As an example of application, the temporal distribution of bike check-out times in the Divvy bike sharing system of Chicago is analyzed using the t-model.

Share

COinS