Autor: Mirosław, Górecki, - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A Kernel Version of Functional Principal Component Analysis
Autorzy:: Górecki, Tomasz
Krzyśko, Mirosław
Powiązania:: https://bibliotekanauki.pl/articles/465977.pdf
Data publikacji:: 2012
Wydawca:: Główny Urząd Statystyczny
Tematy:: PCA
FPCA
kernel version of FPCA
Opis:: In this paper a new construction of functional principal components (FPCA) is proposed, based on principal components for vector data. A kernel version of FPCA is also presented. The quality of the two described methods was tested on 20 different data sets.
Źródło:: Statistics in Transition new series; 2012, 13, 3; 559-668
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: A learning algorithm combining functional discriminant coordinates and functional principal components
Autorzy:: Górecki, Tomasz
Krzyśko, Mirosław
Powiązania:: https://bibliotekanauki.pl/articles/729818.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:: functional principal components
functional discriminant coordinates
Opis:: A new type of discriminant space for functional data is presented, combining the advantages of a functional discriminant coordinate space and a functional principal component space. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 35 functional data sets (time series). Experiments show that constructed combined space provides a higher quality of classification of LDA method compared with component spaces.
Źródło:: Discussiones Mathematicae Probability and Statistics; 2014, 34, 1-2; 127-141
1509-9423
Pojawia się w:: Discussiones Mathematicae Probability and Statistics
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Variable selection in multivariate functional data classification
Autorzy:: Górecki, Tomasz
Krzyśko, Mirosław
Wołyński, Waldemar
Powiązania:: https://bibliotekanauki.pl/articles/1194458.pdf
Data publikacji:: 2019-07-02
Wydawca:: Główny Urząd Statystyczny
Tematy:: multivariate functional data
variable selection
dCov
HSIC
classification
Opis:: A new variable selection method is considered in the setting of classification with multivariate functional data (Ramsay and Silverman (2005)). The variable selection is a dimensionality reduction method which leads to replace the whole vector process, with a low-dimensional vector still giving a comparable classification error. Various classifiers appropriate for functional data are used. The proposed variable selection method is based on functional distance covariance (dCov) given by Székely and Rizzo (2009, 2012) and the Hilbert-Schmidt Independent Criterion (HSIC) given by Gretton et al. (2005). This method is a modification of the procedure given by Kong et al. (2015). The proposed methodology is illustrated with a real data example.
Źródło:: Statistics in Transition new series; 2019, 20, 2; 123-138
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 4.

Tytuł:: Classification problems based on regression models for multi-dimensional functional data
Autorzy:: Górecki, Tomasz
Krzyśko, Mirosław
Wołyński, Waldemar
Powiązania:: https://bibliotekanauki.pl/articles/465780.pdf
Data publikacji:: 2015
Wydawca:: Główny Urząd Statystyczny
Tematy:: multivariate functional data
functional data analysis
multivariate functional regression
classification
Opis:: Data in the form of a continuous vector function on a given interval are referred to as multivariate functional data. These data are treated as realizations of multivariate random processes. We use multivariate functional regression techniques for the classification of multivariate functional data. The approaches discussed are illustrated with an application to two real data sets.
Źródło:: Statistics in Transition new series; 2015, 16, 1; 97-110
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 5.

Tytuł:: An Extension of the Classical Distance Correlation Coefficient for Multivariate Functional Data with Applications
Autorzy:: Górecki, Tomasz
Krzyśko, Mirosław
Ratajczak, Waldemar
Wołyński, Waldemar
Powiązania:: https://bibliotekanauki.pl/articles/465741.pdf
Data publikacji:: 2016
Wydawca:: Główny Urząd Statystyczny
Tematy:: multivariate functional data
functional data analysis
correlation analysis
Opis:: The relationship between two sets of real variables defined for the same individuals can be evaluated by a few different correlation coefficients. For the functional data we have one important tool: canonical correlations. It is not immediately straightforward to extend other similar measures to the context of functional data analysis. In this work we show how to use the distance correlation coefficient for a multivariate functional case. The approaches discussed are illustrated with an application to some socio-economic data.
Źródło:: Statistics in Transition new series; 2016, 17, 3; 449-466
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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