Results 21 to 30 of about 1,020,465 (280)
Forecasting, 2022 We propose a functional time series method to obtain accurate multi-step-ahead forecasts for age-specific mortality rates. The dynamic functional principal component analysis method is used to decompose the mortality curves into dynamic functional ...
Ufuk Beyaztas, Hanlin Shang
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Applied Sciences, 2022 The lithium-ion (Li-ion) battery is a promising energy storage technology for electronics, automobiles, and smart grids. Extensive research was conducted in the past to improve the prediction of the remaining capacity of the Li-ion battery.
MD Shoriat Ullah, Kangwon Seo
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Longitudinal functional principal component analysis. [PDF]
Electron J Stat, 2010 We introduce models for the analysis of functional data observed at multiple time points. The dynamic behavior of functional data is decomposed into a time-dependent population average, baseline (or static) subject-specific variability, longitudinal (or dynamic) subject-specific variability, subject-visit-specific variability and measurement error. The
Greven S +3 more
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Functional classification of small towns in Germany. A methodological comparison
Raumforschung und Raumordnung, 2020 The development of small towns in Germany in terms of their economic, demographic and social endowment is a subject area that has been rather neglected so far.
Philipp Gareis, Antonia Milbert
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Mathematics, 2023 This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical principal component ...
Tzung Hsuen Khoo +2 more
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Multilevel sparse functional principal component analysis. [PDF]
Stat, 2014 We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis was proposed recently for such data when functions are ...
Di C, Crainiceanu CM, Jank WS.
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Atmosphere, 2023 Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants.
Mahmood Taghavi +6 more
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Mathematics, 2023 This paper aims to identify the main determinants of the countries that present contagion during the period 2000–2021, based on the determination of the behavior patterns of 18 stock market indices of 15 of the main economies.
Jorge Omar Razo-De-Anda +2 more
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Computation, 2021 Feature extraction plays an important role in machine learning for signal processing, particularly for low-dimensional data visualization and predictive analytics.
Shengkun Xie
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Multi-dimensional functional principal component analysis [PDF]
Statistics and Computing, 2016 Functional principal component analysis is one of the most commonly employed approaches in functional and longitudinal data analysis and we extend it to analyze functional/longitudinal data observed on a general $d$-dimensional domain. The computational issues emerging in the extension are fully addressed with our proposed solutions.
Chen, Lu-Hung, Jiang, Ci-Ren
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