Results 131 to 140 of about 17,400 (155)
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Statistics in Medicine
In studying the association between clinical measurements and time‐to‐event outcomes within a cure model, utilizing repeated observations rather than solely baseline values may lead to more accurate estimation.
Siyuan Guo, Jiajia Zhang, S. Halabi
semanticscholar +1 more source
In studying the association between clinical measurements and time‐to‐event outcomes within a cure model, utilizing repeated observations rather than solely baseline values may lead to more accurate estimation.
Siyuan Guo, Jiajia Zhang, S. Halabi
semanticscholar +1 more source
Filtrated common functional principal component analysis of multigroup functional data
Annals of Applied StatisticsLocal field potentials (LFPs) are signals that measure electrical activities in localized cortical regions and are collected from multiple tetrodes implanted across a patch on the surface of cortex. Hence, they can be treated as multigroup functional data,
Shuhao Jiao, Ron D. Frostig, H. Ombao
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Applying functional principal components to structural topology optimization
International Journal for Numerical Methods in Engineering, 2018Gianluca Alaimo +2 more
exaly +2 more sources
Day 2 Thu, March 14, 2024
Accurate production forecasting for multiple wells that have both sparse and irregular measurements concurrently is a challenging task. Type-well analysis is commonly employed to model the average decline behavior of a group of wells from empirical ...
H. Hamdi, E. Zirbes, C. R. Clarkson
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Accurate production forecasting for multiple wells that have both sparse and irregular measurements concurrently is a challenging task. Type-well analysis is commonly employed to model the average decline behavior of a group of wells from empirical ...
H. Hamdi, E. Zirbes, C. R. Clarkson
semanticscholar +1 more source
Robust Functional Principal Component Analysis Based on a New Regression Framework
Journal of Agricultural Biological and Environmental Statistics, 2022Haolun Shi, Jiguo Cao
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Robust functional principal components for sparse longitudinal data
Metron, 2021Graciela Boente, Matias Salibian-Barrera
exaly
An Exploratory Analysis of COVID-19 in Latin America Using Functional Principal Component Analysis
ARTIIS, 2021Diana Chaglla, I. Amaro, Saba Infante
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