Results 51 to 60 of about 17,400 (155)

State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality

Stochastic environmental research and risk assessment (Print), 2021
Satellite remote sensing can provide indicative measures of environmental variables that are crucial to understanding the environment. The spatial and temporal coverage of satellite images allows scientists to investigate the changes in environmental ...
M. Gong, Claire Miller, M. Scott, Ruth O’Donnell, S. Simis, S. Groom, A. Tyler, P. Hunter, E. Spyrakos   +8 more
semanticscholar   +1 more source

Disproportional ventilatory response to incremental exercise in individuals with cerebral palsy

Developmental Medicine &Child Neurology, EarlyView.
Individuals with cerebral palsy demonstrate a disproportionate ventilatory response during incremental exercise. Compared with typically developing peers, respiratory frequency increases earlier and at comparable exercise intensities, contributing to higher perceived exertion and reduced ventilatory efficiency. At task failure, respiratory frequency is
Linnéa Corell, Emma Hjalmarsson, Rodrigo Fernandez‐Gonzalo, Annika Kruse, Sebastian Edman, Asta Kizyte, Rouli Wang, Arnoud Edelman Bos, Peder Sörensson, Eva Pontén, Petra E. M. van Schie, Annemieke I. Buizer, Jessica Norrbom, Daniele A. Cardinale, Ferdinand von Walden   +14 more
wiley   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Functional Data Analysis of Particulate Matter (PM₁₀) in Chungbuk, Korea: An Application of Penalized B-Spline Smoothing and Functional Inference

Axioms
Functional data analysis (FDA) provides a framework for representing high-frequency or longitudinal observations as smooth functions, enabling principled dimension reduction and feature extraction.
Eun-Ji Lee, Ji Hyeon Lee, Hee-Jung Jee, Jae-Hwan Jhong   +3 more
doaj   +1 more source

FUNCTIONAL PRINCIPAL COMPONENTS MODEL FOR HIGH-DIMENSIONAL BRAIN IMAGING [PDF]

, 2011
We establish a fundamental equivalence between singular value decomposition (SVD) and functional principal components analysis (FPCA) models. The constructive relationship allows to deploy the numerical efficiency of SVD to fully estimate the components ...
Caffo, Brian S, Crainiceanu, Ciprian, Davatzikos, Christos, Schwartz, Brian S., Yousem, David M., Zipunnikov, Vadim   +5 more
core   +1 more source

Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim, Alba M. Franco‐Pereira, Rosa E. Lillo   +2 more
wiley   +1 more source

A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series

Environmetrics, Volume 37, Issue 4, May 2026.
ABSTRACT Outlier detection in functional time series is challenging due to temporal dependence and the simultaneous presence of magnitude, shape, and partial anomalies. Existing methods often assume independence or rely on model based approaches, such as the Standard Smoothed Bootstrap on Residuals (SmBoR), which may not work well if the model is ...
David Solano, Ruben Dario Guevara, Sergio A. Calderón V., Marc Saez, Maria A. Barceló   +4 more
wiley   +1 more source

Dynamic functional principal components [PDF]

, 2012
In this paper, we address the problem of dimension reduction for sequentially observed functional data (X_k : k ∈ Z). Such functional time series arise frequently, e.g., when a continuous time process is segmented into some smaller natural units, such
Hallin, Marc, Hörmann, Siegfried, Kidzinski, Lukasz   +2 more
core  

Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data [PDF]

, 2020
Mathematical and Physical Sciences: 3rd Place (The Ohio State University Edward F. Hayes Graduate Research Forum)In many applications, smooth processes generate data that is recorded under a variety of observation regimes, such as dense sampling and ...
Matuk, James
core  

A New Approach to Statistical Inference for Functional Time Series

Journal of Time Series Analysis, Volume 47, Issue 3, Page 675-686, May 2026.
ABSTRACT The analysis of time‐indexed functional data plays an important role in the field of business and economic statistics. In the literature, statistical inference for functional time series often involves reducing the dimension of functional data to a finite dimension K$$ K $$, followed by the use of tools from multivariate analysis.
Hanjia Gao, Yi Zhang, Xiaofeng Shao
wiley   +1 more source