Výsledky vyhľadávania - "Functional principal component analysis"

Spatiotemporal patterns and prediction of multi-region house prices via functional mixed effects model

Autori: Yilin Chen Haitao Zheng

Zdroj: International Journal of Strategic Property Management, Vol 29, Iss 2 (2025)

Predmety: functional principal component analysis, spatiotemporal data, spatial dependence, ZHVI, HG1-9999, Management. Industrial management, conditional autoregressive model, house price prediction, HD28-70, Finance

Prístupová URL adresa: https://doaj.org/article/955f778a5a5441e7bc540578e5cd90ed

Real-time monitoring of functional data

Autori: Fabio Centofanti antonio lepore Murat Kulahci a ďalší

Zdroj: Journal of Quality Technology. 57:135-152

Predmety: FOS: Computer and information sciences, functional principal component analysis, curve registration, functional data analysis, profile monitoring, statistical process control, Sannolikhetsteori och statistik, Applications (stat.AP), 0101 mathematics, Probability Theory and Statistics, Statistics - Applications, 01 natural sciences

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2205.06256
https://hdl.handle.net/11588/996713
http://hdl.handle.net/11588/882870
https://hdl.handle.net/11588/996713
https://doi.org/10.1080/00224065.2024.2430978
https://hdl.handle.net/11588/882870
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-111698

Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends

Autori: Sarah N. Banks Amir Behnamian Kenneth C. K. Chu a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 14416-14437 (2025)

Predmety: Ocean engineering, QC801-809, synthetic-aperture radar (SAR), Geophysics. Cosmic physics, time series, Functional principal component analysis (FPCA), TC1501-1800, wetlands

Prístupová URL adresa: https://doaj.org/article/5db4ed7868d44462b050598d0265aaad

Forecasting the monthly retail sales of electricity based on the semi-functional linear model with autoregressive errors

Autori: Bin Yang Min Chen Jianjun Zhou

Zdroj: AIMS Mathematics, Vol 10, Iss 1, Pp 1602-1627 (2025)

Predmety: convergence rate, functional principal component analysis, QA1-939, semi-functional linear model, spline estimation, Mathematics, autoregressive errors

Prístupová URL adresa: https://doaj.org/article/264e826b80024658b0738253d6ec0e76

Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.

Autori: Qian, Qi Nguyen, Danh Telesca, Donatello a ďalší

Zdroj: Biostatistics. 25(3)

Predmety: Conditional autoregressive model, End-stage kidney disease, Multivariate conditional autoregressive model, Multivariate functional principal component analysis, United States Renal Data System, Humans, Hospitalization, Renal Dialysis, United States, Principal Component Analysis, Spatio-Temporal Analysis, Models, Statistical, Multivariate Analysis

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/41s024r1
https://escholarship.org/content/qt41s024r1/qt41s024r1.pdf

FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction

Autori: Junde Chen Yuxin Wen Xuxue Sun a ďalší

Zdroj: IEEE Sensors Journal. 24:30736-30748

Predmety: Remaining useful life prediction, Squeeze-and-Excitation block, Functional principal component analysis, Other Electrical and Computer Engineering, Attention mechanism, Temporal convolutional network

Popis súboru: application/pdf

Predicting progressive vision loss in glaucoma patients using functional principal component analysis and electronic health records

Autori: Rithvik Krishna Donnipadu Maxim Sivolella Cody Carroll a ďalší

Zdroj: Frontiers in Ophthalmology, Vol 5 (2025)

Predmety: visual field, electronic health record, glaucoma, machine learning, longitudinal data analysis, functional principal component analysis, Medicine

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fopht.2025.1632827/full; https://doaj.org/toc/2674-0826

Prístupová URL adresa: https://doaj.org/article/1ab312dbbb594db0a63218e302919392

Lower-limb surface electromyographic differences in roundhouse kicks between elite and sub-elite taekwondo athletes: a functional principal component analysis

Autori: Jianbo Sun Yifei Wang Jingyuan Sun a ďalší

Zdroj: Frontiers in Physiology, Vol 16 (2025)

Predmety: integrated EMG, surface electromyography, functional principal component analysis, taekwondo, athletes, Physiology, QP1-981

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2025.1690694/full; https://doaj.org/toc/1664-042X

Prístupová URL adresa: https://doaj.org/article/33faf82139f2420b8e5b4dfec689aaa4

Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors.

Autori: Carlson, Jordan Hibbing, Paul Rosenberg, Dori a ďalší

Zdroj: International Journal of Behavioral Nutrition and Physical Activity. 21(1)

Predmety: Accelerometer, Functional Principal Component Analysis (FPCA), Multilevel FPCA, Sedentary Behavior (SB), Humans, Female, Sedentary Behavior, Sitting Position, Middle Aged, Principal Component Analysis, Wearable Electronic Devices, Accelerometry, Blood Pressure, Actigraphy, Aged, Overweight, Postmenopause, Exercise, Movement

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/74r7d28m
https://escholarship.org/content/qt74r7d28m/qt74r7d28m.pdf

Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data

Autori: Ségalas, Corentin Helmer, Catherine Genuer, Robin a ďalší

Prispievatelia: Ségalas, Corentin Helmer, Catherine Genuer, Robin a ďalší

Zdroj: Statistics in Medicine. 43:4899-4912

Predmety: mixed models, FOS: Computer and information sciences, functional principal component analysis, Principal Component Analysis, [STAT.ME] Statistics [stat]/Methodology [stat.ME], Models, Statistical, 4. Education, sparse functional data, 3. Good health, Methodology (stat.ME), missing data, Case-Control Studies, Data Interpretation, Statistical, Humans, Computer Simulation, Dementia, Longitudinal Studies, Statistics - Methodology

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39248704
http://arxiv.org/abs/2402.10624
https://hal.science/hal-04693072v2/document
https://doi.org/10.1002/sim.10214
https://hal.science/hal-04693072v2

Estimation in functional partially linear spatial autoregressive model

Autori: Yuping Hu Siyu Wu Sanying Feng

Zdroj: Volume: 53, Issue: 41196-1217
Hacettepe Journal of Mathematics and Statistics

Predmety: Mekansal İstatistik, Functional partial linear spatial autoregressive model, spatial autoregression, functional principal component analysis, instrument variable, Spatial Statistics, İstatistiksel Teori, Statistical Theory

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/hujms/issue/86781/1324888

Intra-tidal PaO2 oscillations associated with mechanical ventilation: a pilot study to identify discrete morphologies in a porcine model

Autori: Cronin, John N. Crockett, Douglas C. Perchiazzi, Gaetano a ďalší

Zdroj: Intensive Care Medicine Experimental. 11(1)

Predmety: Acute respiratory distress syndrome, Mechanical ventilation, Arterial oxygen tension, Oxygen oscillations, Functional principal component analysis

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-512198
https://doi.org/10.1186/s40635-023-00544-0

Functional data analysis for wearable sensor data: a systematic review

Autori: Acar Denizli, Nihan Delicado Useros, Pedro Francisco

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Accelerometer, Glucometer, Functional principal component analysis, Functional regression, Open data, Àrees temàtiques de la UPC::Economia i organització d'empreses, Wearable devices, Statistics - Methodology

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2410.11562

A bi-variate framework to model microbiome resilience in healthy dogs

Autori: Fabio Mainardi Marc Garcia-Garcera Andrea K. Nash

Zdroj: Front Vet Sci
Frontiers in Veterinary Science, Vol 12 (2025)

Predmety: functional principal component analysis, microbiome stability, exercise stress, Veterinary medicine, SF600-1100, Veterinary Science, microbiome recovery, canine microbiome

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40241810
https://doaj.org/article/a7a4799a2281443e9625f68218c6d8f9

Random Survival Forest for Censored Functional Data

Autori: Giuseppe Loffredo Elvira Romano Fabrizio Maturo

Zdroj: Statistics in Medicine. 44

Predmety: FOS: Computer and information sciences, Models, Statistical, Organ Dysfunction Scores, G.3, Machine Learning (stat.ML), Survival Analysis, Methodology (stat.ME), 62R10, 62N02, 62P10, Functional data analysis, survival analysis, functional random survival forest, Statistics - Machine Learning, Data Interpretation, Statistical, functional data analysis, functional principal component analysis, functional random survival forest, random survival forest, survival analysis, Humans, Computer Simulation, Statistics - Methodology

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39930937
http://arxiv.org/abs/2407.15340
https://hdl.handle.net/11591/544922

A RIEMANN MANIFOLD MODEL FRAMEWORK FOR LONGITUDINAL CHANGES IN PHYSICAL ACTIVITY PATTERNS.

Autori: Zou, Jingjing Lin, Tuo Di, Chongzhi a ďalší

Zdroj: The Annals of Applied Statistics. 17(4)

Predmety: Activity trackers, Riemann manifold, accelerometer, functional data analysis, functional principal component analysis, longitudinal analysis

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/2827d3x1
https://escholarship.org/content/qt2827d3x1/qt2827d3x1.pdf

Forecasting Australian fertility by age, region, and birthplace

Autori: Yang Yang Han Lin Shang James Raymer a ďalší

Prispievatelia: Yang Yang Han Lin Shang James Raymer a ďalší

Zdroj: International Journal of Forecasting. 40:532-548

Predmety: FOS: Computer and information sciences, functional principal component analysis, grouped time series, 05 social sciences, optimal combination, Statistics - Applications, 01 natural sciences, Methodology (stat.ME), 62R10, forecast reconciliation, Applications (stat.AP), minimum trace, 0509 other social sciences, 0101 mathematics, Statistics - Methodology

Prístupová URL adresa: http://arxiv.org/abs/2410.18435

Covariate-adjusted functional data analysis for structural health monitoring

Autori: Philipp Wittenberg Lizzie Neumann Alexander Mendler a ďalší

Zdroj: Data-Centric Engineering, Vol 6 (2025)

Predmety: Methodology (stat.ME), FOS: Computer and information sciences, functional principal component analysis, profile monitoring, Applications, Methodology, multivariate exponentially weighted moving average, Applications (stat.AP), functional additive mixed models, environmental variability, TA1-2040, Engineering (General). Civil engineering (General), I.5.4, J.2

Prístupová URL adresa: http://arxiv.org/abs/2408.02106
https://doaj.org/article/34d6c9e5dc35443b90272de30e938db6

Bootstrapping Long-Run Covariance of Stationary Functional Time Series

Autori: Han Lin Shang

Zdroj: Forecasting, Vol 6, Iss 1, Pp 138-151 (2024)

Predmety: functional autoregressive of order 1, Science (General), 05 social sciences, vector autoregressive representation, dynamic functional principal component analysis, 01 natural sciences, long-run covariance, Q1-390, plug-in bandwidth, 0502 economics and business, QA1-939, sieve bootstrap, 0101 mathematics, Mathematics

Prístupová URL adresa: https://doaj.org/article/0925b71e808a431491c068f8f2088feb

Dynamic prediction of survival using multivariate functional principal component analysis: A strict landmarking approach: a strict landmarking approach

Autori: Daniel Gomon Hein Putter Marta Fiocco a ďalší

Zdroj: Stat Methods Med Res

Predmety: functional principal component analysis, Original Research Articles, Humans, landmarking, Dynamic prediction, survival, Proportional Hazards Models, Probability

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38196243
https://hdl.handle.net/1887/4214602
https://hdl.handle.net/1887/3728890