2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.CO2023
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry
Liudmila Pishchagina, Gaetano Romano, Paul Fearnhead +2
The increasing volume of data streams poses significant computational challenges for detecting changepoints online. Likelihood-based methods are effective, but a naive sequential i…
stat.ME2023★ 2 cited
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series
Liudmila Pishchagina, Guillem Rigaill, Vincent Runge
We consider the problem of detecting multiple changes in multiple independent time series. The search for the best segmentation can be expressed as a minimization problem over a gi…