Results 41 to 50 of about 1,002,594 (295)

Análisis de componentes principales funcionales en series de tiempo económicas (Analysis of principal functional components in economic time series)

open access: yesGECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2015
Spanis abstract. El análisis de datos funcionales ha cobrado gran relevancia en los últimos años, convirtiéndose en un importante campo de investigación en la Estadística.
Cristina O. Chávez Chong   +2 more
doaj   +4 more sources

Why live recording sounds better: A case study of Schumann’s Träumerei

open access: yesFrontiers in Psychology, 2015
We explore the concept that artists perform best in front of an audience. The negative effects of performance anxiety are much better known than their related cousin on the other shoulder: the positive effects of social facilitation.
Haruka eShoda   +2 more
doaj   +1 more source

Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs

open access: yesFrontiers in Genetics, 2023
Background: The use of breed-informative genetic markers, specifically coding Single Nucleotide Polymorphisms (SNPs), is crucial for breed traceability, authentication of meat and dairy products, and the preservation and improvement of pig breeds.
Ichrak Hayah   +7 more
doaj   +1 more source

Modelling intra-daily volatility by functional data analysis: an empirical application to the spanish stock market [PDF]

open access: yes, 2009
We propose recent functional data analysis techniques to study the intra-daily volatility. In particular, the volatility extraction is based on functional principal components and the volatility prediction on functional AR(1) models.
Alva, Kenedy, Romo, Juan, Ruiz, Esther
core   +5 more sources

MULTIVARIATE MODELLING OF THE IMMUNE STATUS IN DETECTION OF SECONDARY IMMUNODEFICIENCY AND THE ALLERGY

open access: yesМедицинская иммунология, 2017
Immune status of healthy people, patients with secondary immunodeficiency and allergic diseases is assessed. To reduce the number of characteristics of immunity (23 indicators) to a number of the generalizing factors the multivariate analysis is used ...
E. G. Kuzmina, S. V. Zatsarenko
doaj   +1 more source

Sparse multivariate functional principal component analysis

open access: yesStat, 2022
We introduce a sparse multivariate functional principal component analysis method by incorporating ideas from the group sparse maximum variance method to multivariate functional data. Our method can avoid the “curse of dimensionality” from a high‐dimensional dataset and enjoy interpretability at the same time. In particular, our unsupervised method can
Jun Song, Kyongwon Kim
openaire   +2 more sources

Estimation of Glucosinolates and Anthocyanins in Kale Leaves Grown in a Plant Factory Using Spectral Reflectance

open access: yesHorticulturae, 2021
The spectral reflectance technique for the quantification of the functional components was applied in different studies for different crops, but related research on kale leaves is limited.
Milon Chowdhury   +7 more
doaj   +1 more source

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher   +8 more
wiley   +1 more source

Exploring functional data analysis and wavelet principal component analysis on ecstasy (MDMA) wastewater data

open access: yesBMC Medical Research Methodology, 2016
Background Wastewater-based epidemiology (WBE) is a novel approach in drug use epidemiology which aims to monitor the extent of use of various drugs in a community.
Stefania Salvatore   +2 more
doaj   +1 more source

Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals

open access: yesIEEE Access, 2023
This study explores the combination of electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) to enhance the decoding performance of motor imagery (MI) tasks for brain-computer interface (BCI).
Tao Xu   +6 more
doaj   +1 more source

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