activity
20232026
most citedMultiple change point detection in functional data with applications to biomechanical fatigue data

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Detecting Parameter Instabilities in Functional Concurrent Linear Regression

Rupsa Basu, Sven Otto

We develop methodology to detect structural breaks in the slope function of a concurrent functional linear regression model for functional time series in . Our test is base…

stat.ME2025

Monitoring Time Series for Relevant Changes

Patrick Bastian, Tim Kutta, Rupsa Basu +1

We consider the problem of sequentially testing for changes in the mean parameter of a time series, compared to a benchmark period. Most tests in the literature focus on the null h…

stat.ME2025

Uniform confidence bands for joint angles across different fatigue phases

Patrick Bastian, Rupsa Basu, Holger Dette

We develop uniform confidence bands for the mean function of stationary time series as a post-hoc analysis of multiple change point detection in functional time series. In particul…

math.ST2023★ 1 cited

Multiple change point detection in functional data with applications to biomechanical fatigue data

Patrick Bastian, Rupsa Basu, Holger Dette

Injuries to the lower extremity joints are often debilitating, particularly for professional athletes. Understanding the onset of stressful conditions on these joints is therefore…

stat.ME2023

Fatigue detection via sequential testing of biomechanical data using martingale statistic

Rupsa Basu, Katharina Proksch

Injuries to the knee joint are very common for long-distance and frequent runners, an issue which is often attributed to fatigue. We address the problem of fatigue detection from b…