Recent advances in functional data analysis and high-dimensional statistics
Recent advances in functional data analysis and high-dimensional statistics - ScienceDirect
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Functional data analysis: An introduction and recent developments
Functional data analysis (FDA) is a statistical framework that allows for the analysis of
curves, images, or functions on higher dimensional domains. The goals of FDA, such as …
curves, images, or functions on higher dimensional domains. The goals of FDA, such as …
Wavelet ideology as a universal tool for data processing and analysis: some application examples
Анотація Data analysis is an important stage in the study of various processes, phenomena,
objects. These data can have a different physical nature and different structure. Therefore, it …
objects. These data can have a different physical nature and different structure. Therefore, it …
New modeling approaches based on varimax rotation of functional principal components
C Acal, AM Aguilera, M Escabias - Mathematics, 2020 - mdpi.com
Functional Principal Component Analysis (FPCA) is an important dimension reduction
technique to interpret the main modes of functional data variation in terms of a small set of …
technique to interpret the main modes of functional data variation in terms of a small set of …
On functional data analysis and related topics
G Aneiros, I Horová, M Hušková, P Vieu - Journal of Multivariate Analysis, 2022 - Elsevier
This paper aims to present the various contributions to the Special Issue of the Journal of
Multivariate Analysis on Functional Data Analysis and some related topics including High …
Multivariate Analysis on Functional Data Analysis and some related topics including High …
Factor models for high‐dimensional functional time series I: Representation results
M Hallin, G Nisol, S Tavakoli - Journal of Time Series Analysis, 2023 - Wiley Online Library
In this article, which consists of two parts (Part I: representation results; Part II: estimation and
forecasting methods), we set up the theoretical foundations for a high‐dimensional …
forecasting methods), we set up the theoretical foundations for a high‐dimensional …
fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data
T Górecki, Ł Smaga - Computational Statistics, 2019 - Springer
Functional data, ie, observations represented by curves or functions, frequently arise in
various fields. The theory and practice of statistical methods for such data is referred to as …
various fields. The theory and practice of statistical methods for such data is referred to as …
Sign, Wilcoxon and Mann-Whitney tests for functional data: An approach based on random projections
Sign, Wilcoxon and Mann-Whitney tests are nonparametric methods in one or two-sample
problems. The nonparametric methods are alternatives used for testing hypothesis when the …
problems. The nonparametric methods are alternatives used for testing hypothesis when the …
Young consumers' green marketing orientation: role of customer citizenship behaviour in determining real estate purchase intention in India
Purpose The purpose of this paper is to assess green marketing as an influential factor in
the purchase of real estate. In this study, the consumer citizenship behaviour of young …
the purchase of real estate. In this study, the consumer citizenship behaviour of young …
Are expensive decisions impulsive? Young adults' impulsive housing and real estate buying behavior in India
Purpose The purpose of the study is to determine website quality, materialism, psychological
factors, hedonic value and social media as factors that influence the young adults' impulsive …
factors, hedonic value and social media as factors that influence the young adults' impulsive …