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Functional Data Analysis for Sparse Functional Data

2018
With the development of science and modern technology, more and more data are being collected continuously over a time interval in various disciplines, such as public health, biology, medicine and finance. Such data can be viewed as ``functional data". Functional data analysis (FDA), which deals with the analysis and theory of functional data, has been
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Functional Data Structures

1996
A functional data structure is a data structure that is suitable for implementation in a functional programming language, or for coding in an ordinary language like C or Java using a functional style. Functional data structures are closely related to persistent data structures and immutable data structures—in fact, the three terms are often used ...
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A Depth Function for Geostatistical Functional Data

2015
In this paper we introduce a depth measure for geostatistical functional data. The aim is to provide a tool which allows to get a center-outward ordering of functional data recorded by sensors placed on a geographic area. Although the topic of ordering functional data has already been addressed in the literature, no proposal analyzes the case in which ...
BALZANELLA, Antonio, ROMANO, Elvira
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Clustering Functional Data on Convex Function Spaces

2016
The curves in a functional data set often present a variety of distinctive patterns corresponding to different shapes that can be identified by clustering the functions. However, clustering functional data is a difficult task because the function space is, generally, of infinite dimension.
DI BATTISTA, Tonio   +2 more
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Classification methods for functional data

Oxford Handbooks Online, 2018
This article reviews the literature concerning supervised and unsupervised classification of functional data. It first explains the meaning of unsupervised classification vs.
A. Baíllo, A. Cuevas, R. Fraiman
semanticscholar   +1 more source

Data Processing Functions

1994
The types of circuits used in data processing differ significantly from the signal processing functions presented in the previous chapters. Data processing functions typically perform calculations on numerical data, and considerations must be given to how the data is represented and to the speed at which it can be processed. For more complex functions,
Douglas E. Ott, Thomas J. Wilderotter
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Functional data structures

2012
Statistics is concerned with obtaining information from observations X 1, X 2, …, X N . The X n can be scalars, vectors or other objects. For example, each X n can be a satellite image, in some spectral bandwidth, of a particular region of the Earth taken at time n.
Lajos Horváth, Piotr Kokoszka
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Functional Data

2023
Lajos Horváth, Gregory Rice
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Robust archetypoids for anomaly detection in big functional data

Advances in Data Analysis and Classification, 2020
G. Vinué, I. Epifanio
semanticscholar   +1 more source

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