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 with functional data, and its representation, exploratory analysis, or preprocessing, among other tasks such as inference, classification, regression or clustering of functional data. See documentation for further information on the features included in the package. The latest version of this package is available in our Github: https://github.com/GAA-UAM/scikit-fda The documentation of the latest version, corresponding with the develop version of the package, can be found at fda.readthedocs.io/en/l...
Functional data analysis (FDA) plays an important role in analyzing function-valued data such as gro...
With the advance of modern technology, more and more data are being recorded continuously during a t...
Some highlights of this version: Add typing support for most functionalities of the package. Now ...
Functional data analysis (FDA) is a branch of statistics that analyzes data providing information ab...
Description The R package fda.usc carries out exploratory and descriptive analysis of func-tional da...
Functional data analysis (FDA) is a eld of Statistics in which the data considered are functions. ...
What's Changed Fix packaging. Fix FPCA grid implementation with regularization by @Ddelval in https...
This paper is devoted to the R package fda.usc which includes some utilities for functional data ana...
The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling vari...
Psychologists and behavioural scientists are increasingly collecting data that are drawn from contin...
BACKGROUND: Functional data analysis (FDA) is increasingly being used to better analyze, model and p...
Background Functional data analysis (FDA) is increasingly being used to better analyze, model and pr...
Functional Data Analysis (FDA) is a branch of Statistics devoted to the study of random quantities ...
Adds functional component analysis, ANOVA and Hotelling tests, basis representation for multivariate...
Published: 19 March 2013BACKGROUND: Functional data analysis (FDA) is increasingly being used to bet...
Functional data analysis (FDA) plays an important role in analyzing function-valued data such as gro...
With the advance of modern technology, more and more data are being recorded continuously during a t...
Some highlights of this version: Add typing support for most functionalities of the package. Now ...
Functional data analysis (FDA) is a branch of statistics that analyzes data providing information ab...
Description The R package fda.usc carries out exploratory and descriptive analysis of func-tional da...
Functional data analysis (FDA) is a eld of Statistics in which the data considered are functions. ...
What's Changed Fix packaging. Fix FPCA grid implementation with regularization by @Ddelval in https...
This paper is devoted to the R package fda.usc which includes some utilities for functional data ana...
The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling vari...
Psychologists and behavioural scientists are increasingly collecting data that are drawn from contin...
BACKGROUND: Functional data analysis (FDA) is increasingly being used to better analyze, model and p...
Background Functional data analysis (FDA) is increasingly being used to better analyze, model and pr...
Functional Data Analysis (FDA) is a branch of Statistics devoted to the study of random quantities ...
Adds functional component analysis, ANOVA and Hotelling tests, basis representation for multivariate...
Published: 19 March 2013BACKGROUND: Functional data analysis (FDA) is increasingly being used to bet...
Functional data analysis (FDA) plays an important role in analyzing function-valued data such as gro...
With the advance of modern technology, more and more data are being recorded continuously during a t...
Some highlights of this version: Add typing support for most functionalities of the package. Now ...