Scalable multiple changepoint detection for functional data sequences
Sign Up to like & getrecommendations! Published in 2021 at "Environmetrics"
DOI: 10.1002/env.2710
Abstract: We propose the Multiple Changepoint Isolation (MCI) method for detecting multiple changes in the mean and covariance of a functional process. We first introduce a pair of projections to represent the high and low frequency… read more here.
Keywords: changepoint; multiple changepoint; detection functional; changepoint detection ... See more keywords
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
Sign Up to like & getrecommendations! Published in 2024 at "Statistics and Computing"
DOI: 10.1007/s11222-024-10428-2
Abstract: We consider the challenge of efficiently detecting changes within a network of sensors, where we also need to minimise communication between sensors and the cloud. We propose an online, communication-efficient method to detect such changes.… read more here.
Keywords: method; efficient online; changepoint detection; communication efficient ... See more keywords
Minimax and pointwise sequential changepoint detection and identification for general stochastic models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Multivariate Analysis"
DOI: 10.1016/j.jmva.2022.104977
Abstract: This paper considers the problem of joint change detection and identification assuming multiple composite postchange hypotheses. We propose a multihypothesis changepoint detection-identification procedure that controls the probabilities of false alarm and wrong identification. We show… read more here.
Keywords: detection; changepoint detection; detection identification; general stochastic ... See more keywords
Changepoint detection in Gaussian sequential data with copula-based Markov chain models in an online environment
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2025.2480644
Abstract: Online changepoint detection involves determining if there are changes in a sequential data structure over time. Addressing the dependence structure is crucial in analysing time series data. To address this, we propose a copula-based Markov… read more here.
Keywords: changepoint detection; markov chain;
Dynamic Evolution of Energy Efficiency in the Building Sector: A Changepoint Detection and Text Processing-Based Bibliometric Analysis
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DOI: 10.3390/a18120745
Abstract: Energy efficiency in buildings is a vital subject within sustainable construction and climate change mitigation, yet comprehensive bibliometric analyses mapping the complete evolution of this domain remain limited. This study provides a comprehensive four-decade analysis… read more here.
Keywords: evolution; changepoint detection; analysis; energy efficiency ... See more keywords
An Early Fault Detection Method for Wind Turbine Main Bearings Based on Self-Attention GRU Network and Binary Segmentation Changepoint Detection Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16104123
Abstract: The condition monitoring and potential anomaly detection of wind turbines have gained significant attention because of the benefits of reducing the operating and maintenance costs and enhancing the reliability of wind turbines. However, the complex… read more here.
Keywords: self attention; detection algorithm; changepoint detection; wind turbines ... See more keywords