# Consistency of binary segmentation for multiple change-point estimation with functional data

@article{Rice2022ConsistencyOB, title={Consistency of binary segmentation for multiple change-point estimation with functional data}, author={Gregory Rice and Chi Zhang}, journal={Statistics \& Probability Letters}, year={2022} }

## 3 Citations

Bayesian Changepoint Estimation for Spatially Indexed Functional Time Series (preprint)/ en

- Mathematics
- 2022

We propose a Bayesian hierarchical model to simultaneously estimate mean based changepoints in spatially correlated functional time series. Unlike previous methods that assume a shared changepoint at…

Weighted-Graph-Based Change Point Detection

- Mathematics, Computer Science
- 2021

The null limiting distribution is derived, accurate analytic approximations to control type I error are provided, and theoretical guarantees on the power consistency under contiguous alternatives for the one change point setting are established, as well as the minimax localization rate.

Scalable multiple changepoint detection for functional data sequences

- Environmental ScienceEnvironmetrics
- 2021

The Multiple Changepoint Isolation method for detecting multiple changes in the mean and covariance of a functional process is proposed and demonstrated on a large time series of water vapor mixing ratio profiles from atmospheric emitted radiance interferometer measurements.

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