31 citations · 49 across the 4 of their papers we have counts for
5 papers
Pruning and Nonparametric Multiple Change Point Detection
Wenyu Zhang, Nicholas James, David Matteson
Change point analysis is a statistical tool to identify homogeneity within time series data. We propose a pruning approach for approximate nonparametric estimation of multiple chan…
Change Points via Probabilistically Pruned Objectives
Nicholas A. James, David S. Matteson
The concept of homogeneity plays a critical role in statistics, both in its applications as well as its theory. Change point analysis is a statistical tool that aims to attain homo…
Leveraging Cloud Data to Mitigate User Experience from "Breaking Bad"
Nicholas A. James, Arun Kejariwal, David S. Matteson
Low latency and high availability of an app or a web service are key, amongst other factors, to the overall user experience (which in turn directly impacts the bottomline). Exogeni…
ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data
Nicholas A. James, David S. Matteson
There are many different ways in which change point analysis can be performed, from purely parametric methods to those that are distribution free. The ecp package is designed to pe…
A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
David S. Matteson, Nicholas A. James
Change point analysis has applications in a wide variety of fields. The general problem concerns the inference of a change in distribution for a set of time-ordered observations. S…