Bivariate change point detection in movement direction and speed
Statistics Theory
2024-09-04 v2 Quantitative Methods
Applications
Methodology
Statistics Theory
Abstract
Biological movement patterns can sometimes be quasi linear with abrupt changes in direction and speed, as in plastids in root cells investigated here. For the analysis of such changes we propose a new stochastic model for movement along linear structures. Maximum likelihood estimators are provided, and due to serial dependencies of increments, the classical MOSUM statistic is replaced by a moving kernel estimator. Convergence of the resulting difference process and strong consistency of the variance estimator are shown. We estimate the change points and propose a graphical technique to distinguish between change points in movement direction and speed.
Cite
@article{arxiv.2402.02489,
title = {Bivariate change point detection in movement direction and speed},
author = {Solveig Plomer and Theresa Ernst and Philipp Gebhardt and Enrico Schleiff and Ralph Neininger and Gaby Schneider},
journal= {arXiv preprint arXiv:2402.02489},
year = {2024}
}