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

Cites Work

Unnamed Item
A MOSUM procedure for the estimation of multiple random change points
On optimal multiple changepoint algorithms for large data
Change-point detection in panel data via double CUSUM statistic
Wild binary segmentation for multiple change-point detection
Change-point detection and bootstrap for Hilbert space valued random fields
Estimation of a change-point in the mean function of functional data
Evaluating stationarity via change-point alternatives with applications to fMRI data
Detecting structural breaks in eigensystems of functional time series
Univariate mean change point detection: penalization, CUSUM and optimality
Functional data analysis in the Banach space of continuous functions
Consistency of binary segmentation for multiple change-point estimation with functional data
Identifying multiple changes for a functional data sequence with application to freeway traffic segmentation
Multiscale change-point segmentation: beyond step functions
Sequential change-point detection based on nearest neighbors
Testing stationarity of functional time series
High Dimensional Change Point Estimation via Sparse Projection
Detecting Changes in the Mean of Functional Observations
Optimal Detection of Changepoints With a Linear Computational Cost
Detecting and Dating Structural Breaks in Functional Data Without Dimension Reduction
Multiscale change point detection for dependent data
Optimal Nonparametric Multivariate Change Point Detection and Localization
Testing Relevant Hypotheses in Functional Time Series via Self-Normalization
Narrowest-Over-Threshold Detection of Multiple Change Points and Change-Point-Like Features
A Plug‐in Bandwidth Selection Procedure for Long‐Run Covariance Estimation with Stationary Functional Time Series
Multiple-Change-Point Detection for High Dimensional Time Series via Sparsified Binary Segmentation
Sequential block bootstrap in a Hilbert space with application to change point analysis
Multiscale Change Point Inference
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection
Optimal change-point detection and localization
Testing Stability in Functional Event Observations with an Application to IPO Performance
Scalable multiple changepoint detection for functional data sequences
The state of cumulative sum sequential changepoint testing 70 years after page

This page was built for publication: Multiple change point detection in functional data with applications to biomechanical fatigue data