^Frédéric Ferraty, & Vieu, P. . (2006). Nonparametric functional data analysis: models, theory, applications and implementations. New York, NY: Springer. ^abGery Geenens. (2011). Curse of dimensionality and related issues in nonparametric functional regression. DOI: 10.1214/09-SS049 编辑于 ...
函数型数据( Functional Data analysis)最早由加拿大学者J. O. Ramsay在1991年提出,并于1997年J.O. Ramsay和B. W.Silverman出版了《Functional Data Analysis》一书,2005年出版第二版,书中介绍了函数型数据分析理论基础和实际运用案例。为了对函数型数据分析知识进行了普及和拓展。2009年,Ramsay. Giles Hooker等出版...
内容简介· ··· Scientists today collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and ...
With the advance of modern technology, more and more data are being recorded continuously during a time interval or intermittently at several discrete time points. These are both examples of functional data, which has become a commonly encountered type of data. Functional data analysis (FDA) ...
The goals of functional data analysis are essentially the same as for other branches of statistics, and include the following: (a) to represent and transformthe data in ways that aid further analysis, (b) to display the data so as to highlight various characteristics, (c) to study important...
scikit-fda: Functional Data Analysis in Python Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a continuous parameter. This package offers classes, methods and functions to give support to FDA in Python. Includes a wide range of utils to work wit...
Limited public software/resourses - changed over the last decade. Initial development on data analysis rather than inference.Necessities for Functional Data:must believably derive from a smooth process; process should not be easily parameterizable (should not be able to write down a formula); eno...
Functional Data Analysis Notes 3 - Functional PCA 阅读材料:Ramsay, J.O., Silverman, B.W. (2005) Functional Data Analysis (2nd Edition) Section 8.1-8.6, 9.1-9.4.1 Multivariate Principal Components Analysis 1.1 A little analysis 1.2 Mechanics of PCA 2 Functional PCA 2.1 Re-interpretation 2.2 ...
'Functional Data Analysis' refers to the statistical methods used to analyze data that consists of curves or images, where each observation is considered as a function. This type of analysis focuses on the smoothness of the processes generating the data, allowing for the examination of information...
FunctionalDataAnalysis TableofContents 1Introduction 2RepresentingFunctionalData 3ExploratoryDataAnalysis 4ThefdaPackage 5FunctionalLinearModels 6FunctionalLinearModelsinR 7Registration 8Dynamics 9FutureProblems 2/181 FunctionalDataAnalysis SomeReferences Threereferencesforthiscourse(allSpringer) Ramsay&Silverman,2005,“...