Results 241 to 250 of about 2,607,610 (251)

Change Point Detection Techniques

2004
In this chapter we will discuss change point detection techniques for analyzing population change over time. The linkage between information theory and statistics has been discussed in Chapter 5. In statistics, the problem of change point analysis can be formulated as that of model selection.
Bon K. Sy, Arjun K. Gupta
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Change-Point Detection in Angular Data

Annals of the Institute of Statistical Mathematics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Grabovsky, Irina, Horváth, Lajos
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NONPARAMETRIC TRUNCATED SEQUENTIAL CHANGE-POINT DETECTION

Statistics & Risk Modeling, 1995
Summary: New nonparametric truncated sequential changepoint detection processes are considered via a theorem of \textit{D. A. Darling} and \textit{P. Erdős} [Duke Math. J. 23, 143-155 (1956; Zbl 0070.138)]. Their asymptotic and finite sample properties are examined and compared to existing procedures.
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Hubness Change Point Detection

Proceedings of the AAAI Conference on Artificial Intelligence
This study proposes a new change detection method that leverages hubness. Hubness is a phenomenon that occurs in high-dimensional spaces, where certain special data points, known as hub data, tend to be closer to other data points. Hubness is known to degrade the accuracy of methods based on nearest neighbor search.
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
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Greedy Kernel Change-Point Detection

IEEE Transactions on Signal Processing, 2019
We consider the problem of detecting abrupt changes in the underlying stochastic structure of multivariate signals. A novel non-parametric and model-free off-line change-point detection method based on a kernel mapping is presented. This approach is sequential and alternates between two steps: a greedy detection to estimate a new breakpoint and a ...
Charles Truong, Laurent Oudre, Nicolas Vayatis   +2 more
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Adaptive Change Point Detection for Respiratory Variables

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Current alarm strategies for physiological monitoring depend on predetermined thresholds without consideration for the heterogeneity between patients or intraoperative variations. To improve upon this situation, we developed an adaptive change point detection scheme to automatically notify the clinician when a change of clinical significance has ...
Ping, Yang, Guy, Dumont, Joanne, Lim, J, Mark Ansermino   +3 more
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Change Point Detection

2022
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Multiple change‐point detection for regression curves

Canadian Journal of Statistics
AbstractNonparametric estimation of a regression curve becomes crucial when the underlying dependence structure between covariates and responses is not explicit. While existing literature has addressed single change‐point estimation for regression curves, the problem of multiple change points remains unresolved.
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Change Points Detection in EU Inflation Rates

Inflation is a critical issue in Europe nowadays, impacting both the political and the economic contexts. Recent events have driven price increases that significantly impact people's daily life. Our goal is to identify structural changes in inflation rates across key categories of goods in the European Union.
Danese, Luca, Corradin, Riccardo, Ongaro, Andrea   +2 more
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Early Change-Point Detection

2016
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