Applied Functional Data Analysis

By H. Altland. 2003

629 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability

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Citations in the corpus

Functional data clustering: a survey (2013, background): “Let us also remind the monographs on functional data by Ramsay and Silverman (2002, 2005) developing theory and applications on functional data, the book of Bosq (2000) for modelling dependent functional random variables and the recent book of Ferraty and Vieu (2006) on non-parametric models for…”
Tests for separability in nonparametric covariance operators of random surfaces (2015, methodology): “To do this, we rely on a strategy from Functional Data Analysis (Ramsay & Silverman 2002, 2005, Ferraty & Vieu 2006, Ramsay et al. 2009, Horváth & Kokoszka 2012b), which consists in projecting the observations onto a carefully chosen low-dimensional subspace.”
Using basis expansions for estimating functional PLS regression Applications with chemometric data (2010, background): “Reviews of common functional data analysis (FDA) methodologies and interesting real data applications in other fields (growth curves in medicine, financial series derived from stock-market movements, and rainfall and temperature curves in the environmental field, among others) are compiled in the we”
Functional Modelling and Classification of Longitudinal Data. (2005, methodology): “For an introduction to the field of FDA, the two monographs by Ramsay & Silverman (1997, 2002) provide a rewarding and accessible overview on foundations and applications, as well as a plethora of motivating examples.”
Functional Modelling and Classification of Longitudinal Data * (2005, methodology): “For an introduction to the field of FDA, the two monographs by Ramsay & Silverman (1997, 2002) provide a rewarding and accessible overview on foundations and applications, as well as a plethora of motivating examples.”