3 citations · 3 across the 1 of their papers we have counts for
3 papers
A Comparison of Single and Multiple Changepoint Techniques for Time Series Data
Xueheng Shi, Colin Gallagher, Robert Lund +1
This paper describes and compares several prominent single and multiple changepoint techniques for time series data. Due to their importance in inferential matters, changepoint res…
High-Dimensional Changepoint Detection via a Geometrically Inspired Mapping
Thomas Grundy, Rebecca Killick, Gueorgui Mihaylov
High-dimensional changepoint analysis is a growing area of research and has applications in a wide range of fields. The aim is to accurately and efficiently detect changepoints in…
A Bayesian binary algorithm for RMS-based acoustic signal segmentation
Paulo Hubert, Rebecca Killick, Alexandra Chung +1
Changepoint analysis (also known as segmentation analysis) aims at analyzing an ordered, one-dimensional vector, in order to find locations where some characteristic of the data ch…