Smoothed functional canonical correlation analysis of humidity and temperature data

Keser, İstem Köymen; Kocakoç, İpek Deveci

doi:10.1080/02664763.2015.1019842

Cited by 8 publications

(1 citation statement)

References 15 publications

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“…principal component analysis to measure the distance. The term smoothing has been actively used in several publications related to FDA, such as smoothing functional varying coefficient models for longitudinal data [41], smoothing ground reaction force data using the B-spline basis function [42], smoothing two-dimensional functional datasets using spline basis functions [43], smoothing functional canonical correlation analysis of humidity and temperature data [44], and examining the choice of smoothing and differentiation for kinematic data [45].…”

Section: Smoothingmentioning

confidence: 99%

Research Trends on Functional Data Analysis Using Scopus Database: A Bibliometric Analysis

Suhaila,

Hamdan

2023

Mal. J. Fund. Appl. Sci.

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Functional data analysis (FDA) has received significant attention from researchers due to its flexibility and diverse applications in various fields. FDA provides a comprehensive framework for analysing and extracting information from complex and high-dimensional datasets, enabling researchers to obtain insights into the underlying processes, improve modelling, and make accurate predictions. Therefore, understanding the FDA topic and its features and tools, as well as identifying the collaborative networks, are crucial for the development of its research areas. The objective of the present bibliometric study is to analyse the global research trend in FDA areas based on publication outputs, authorships, co-authorships, affiliated countries, and the co-occurrence of author keywords, which will enable researchers to assess the existing knowledge environment, future trends, potential research gaps, and collaboration opportunities. The publications from the year 1989 to 2021 were retrieved from the Scopus database, resulting in 1712 articles in journals after screening. Results have shown that articles published in the Journal of the American Statistical Association received the highest citations. Nearly 43% of the published articles were contributed by the leading authors from the USA, followed by China (11.5%) and Spain (9.4%). According to the QS World University Ranking 2021, eight of the top 20 productive institutions were ranked among the top 100 best universities. The findings indicated that researchers had intensively developed and applied FDA tools and features, such as smoothing, principal component analysis, regression, and clustering, in various domains. In addition, the expansion of FDA tools could be seen based on the recent progress in author keywords. New keywords, including function-on-function regression, function-on-scalar regression, scalar-on-function regression, outlier detection, structural health monitoring, and COVID-19, have arisen recently. Due to public concern about emerging diseases, future FDA work is expected to rise, particularly in the health sciences and biomedical fields.

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Section: Smoothingmentioning

confidence: 99%

Research Trends on Functional Data Analysis Using Scopus Database: A Bibliometric Analysis

Suhaila,

Hamdan

2023

Mal. J. Fund. Appl. Sci.

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Basis expansion approaches for functional analysis of variance with repeated measures

Acal

Aguilera

2022

Adv Data Anal Classif

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The methodological contribution in this paper is motivated by biomechanical studies where data characterizing human movement are waveform curves representing joint measures such as flexion angles, velocity, acceleration, and so on. In many cases the aim consists of detecting differences in gait patterns when several independent samples of subjects walk or run under different conditions (repeated measures). Classic kinematic studies often analyse discrete summaries of the sample curves discarding important information and providing biased results. As the sample data are obviously curves, a Functional Data Analysis approach is proposed to solve the problem of testing the equality of the mean curves of a functional variable observed on several independent groups under different treatments or time periods. A novel approach for Functional Analysis of Variance (FANOVA) for repeated measures that takes into account the complete curves is introduced. By assuming a basis expansion for each sample curve, two-way FANOVA problem is reduced to Multivariate ANOVA for the multivariate response of basis coefficients. Then, two different approaches for MANOVA with repeated measures are considered. Besides, an extensive simulation study is developed to check their performance. Finally, two applications with gait data are developed.

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Two-sample tests for multivariate functional data with applications

Zhiping

Chen

Zhang

2021

Computational Statistics & Data Analysis

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Smoothed functional canonical correlation analysis of humidity and temperature data

Cited by 8 publications

References 15 publications

Research Trends on Functional Data Analysis Using Scopus Database: A Bibliometric Analysis

Research Trends on Functional Data Analysis Using Scopus Database: A Bibliometric Analysis

Basis expansion approaches for functional analysis of variance with repeated measures

Two-sample tests for multivariate functional data with applications

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