Results 51 to 60 of about 3,633,355 (289)

Functional linear regression analysis for longitudinal data

open access: yes, 2006
We propose nonparametric methods for functional linear regression which are designed for sparse longitudinal data, where both the predictor and response are functions of a covariate such as time.
Müller, Hans-Georg   +2 more
core   +1 more source

Functional data analysis view of functional near infrared spectroscopy data

open access: yesJournal of Biomedical Optics, 2013
Functional near infrared spectroscopy (fNIRS) is a powerful tool for the study of oxygenation and hemodynamics of living tissues. Despite the continuous nature of the processes generating the data, analysis of fNIRS data has been limited to discrete-time methods.
Zeinab, Barati   +2 more
openaire   +2 more sources

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li   +9 more
wiley   +1 more source

Functional Data Analysis for Imaging Mean Function Estimation: Computing Times and Parameter Selection

open access: yesComputers, 2022
In the field of medical imaging, one of the most extended research setups consists of the comparison between two groups of images, a pathological set against a control set, in order to search for statistically significant differences in brain activity ...
Juan A. Arias-López   +2 more
doaj   +1 more source

Combining Functional Data Registration and Factor Analysis

open access: yes, 2015
We extend the definition of functional data registration to encompass a larger class of registered functions. In contrast to traditional registration models, we allow for registered functions that have more than one primary direction of variation.
Earls, Cecilia, Hooker, Giles
core   +2 more sources

Principal Component Analysis for Functional Data [PDF]

open access: yes, 2001
In functional principal component analysis (PCA), we treat the data that consist of functions not of vectors (Ramsay and Silverman, 1997). It is an attractive methodology, because we often meet the cases where we wish to apply PCA to such data.
Tanaka, Yutaka, Yamanishi, Yoshihiro
core   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

open access: yesFEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Constructing a Control Chart Using Functional Data

open access: yesMathematics, 2020
This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain.
Miguel Flores   +5 more
doaj   +1 more source

COVID-19 Data Imputation by Multiple Function-on-Function Principal Component Regression

open access: yesMathematics, 2021
The aim of this paper is the imputation of missing data of COVID-19 hospitalized and intensive care curves in several Spanish regions. Taking into account that the curves of cases, deceases and recovered people are completely observed, a function-on ...
Christian Acal   +3 more
doaj   +1 more source

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