The statistical analysis of covariance operators in a functional data analysis setting is considered. Many suitable distances to compare covariance operators are presented and in particular the problem of estimating the average covariance operators among different groups is addressed. Finally, an applied problem in which this methodology has proved useful is introduced, namely, exploring phonet...

M-estimators of location are widely used robust estimators of the center of univariate or multivariate real-valued data. This paper aims to study M-estimates of location in the framework of functional data analysis. To this end, recent developments for robust nonparametric density estimation by means of M-estimators are considered. These results can also be applied in the context of functional ...

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No one can deny that COVID-19 has spread around the world and is still emerging as a new variation in some areas. Since time of its breakout, three coronavirus waves have emerged. Daily cases from 79 countries were selected for study. The main objective this research was to model analyze behavior disease's first wave on Asian continent using functional data analysis methods. Functional models f...