Detecting changes in the mean of functional observations

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Abstract

Principal component analysis has become a fundamental tool of functional data analysis. It represents the functional data as Xi(t)=μ(t) +Σ1≤l

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Berkes, I., Gabrys, R., Horváth, L., & Kokoszka, P. (2009). Detecting changes in the mean of functional observations. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 71(5), 927–946. https://doi.org/10.1111/j.1467-9868.2009.00713.x

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