Introduction: Examples of Functional Data
Wavelet-based functional data analysis (FDA) is a modern approach to dealing with statistical inference when observations are curves or images. Making inference (estimation and testing) in the wavelet domain is beneficial in several respects such as: reduction of dimensionality, decorrelation, localization, and regularization. This chapter gives an overview of theory for wavelet-based functional analysis, reviews relevant references, and provides some examples that will be used in the next chapters.
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