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Page-Hinkley Method

Online change detection test based on calculating the cumulative sum of differences between observations and their mean, with an automatic reset mechanism.

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Structural Change

Fundamental modification in the underlying mechanism generating the data, affecting model parameters or relationships between variables.

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Changing Variance

Type of change detected when the volatility or dispersion of observations varies significantly between different periods of the time series.

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Changing Mean

Change characterized by a modification of the average level of the time series, often indicating a shift in the underlying generating process.

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Seasonality Detection

Identification of changes in the cyclical or periodic patterns of a time series, including the emergence, disappearance, or modification of seasonal patterns.

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ADF Test

Augmented statistical test checking for the presence of a unit root in a time series, essential for detecting stationarity changes.

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Bayesian Changepoint Method

Probabilistic approach using Bayesian inference to estimate the posterior distribution of change points and quantify the associated uncertainty.

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E-Divisive Algorithm

Non-parametric detection method based on recursive division of the series into segments maximizing a divergence statistic between sub-series.

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PELT

Algorithme d'optimisation exact en temps linéaire avec élagage, permettant de trouver efficacement les points de changement multiples en minimisant un critère de coût.

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Détecteur de Winters

Méthode spécialisée dans la détection de changements dans les modèles de lissage exponentiel de Holt-Winters, particulièrement sensible aux variations saisonnières.

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