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Functional Principal Components Analysis of Shanghai Stock Exchange 50 Index
Discrete Dynamics in Nature and Society, 2014 The main purpose of this paper is to explore the principle components of Shanghai stock exchange 50 index by means of functional principal component analysis (FPCA).
Zhiliang Wang, Yalin Sun, Peng Li
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Functional principal component analysis (FPCA) on remote sensing data and longitudinal studies
, 2021 This dissertation consists of three main pieces of my Ph.D. dissertation, which shapes my research on multivariate functional data, change-point detection, asynchronous longitudinal data, and remote sensing data applications. The first project is motivated by NASA's first dedicated \ce{CO2} monitoring satellite, the Orbiting Carbon Observatory-2 (OCO-2)
openaire +4 more sources
Integrating Data Transformation in Principal Components Analysis [PDF]
, 2015 Principal component analysis (PCA) is a popular dimension-reduction method to reduce the complexity and obtain the informative aspects of high-dimensional datasets.
Hu, Jianhua +2 more
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Exploring the Single-Cell Dynamics of FOXM1 Under Cell Cycle Perturbations. [PDF]
Cell ProlifThe varied FOXM1 dynamic patterns reveal significant differences in cellular responses to the same stimuli at the single‐cell level. This emphasises the relationship between cue, signal and response as influenced by different drug types and concentrations.
Jawwad T +6 more
europepmc +2 more sources
Unvealing the Principal Modes of Human Upper Limb Movements through Functional Analysis
Frontiers in Robotics and AI, 2017 The rich variety of human upper limb movements requires an extraordinary coordination of different joints according to specific spatio-temporal patterns. However, unvealing these motor schemes is a challenging task.
Giuseppe Averta +8 more
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On the prediction of stationary functional time series [PDF]
, 2014 This paper addresses the prediction of stationary functional time series. Existing contributions to this problem have largely focused on the special case of first-order functional autoregressive processes because of their technical tractability and the ...
Aue, Alexander +2 more
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High-Dimensional Multiresponse Partially Functional Linear Regression. [PDF]
Stat MedABSTRACT We propose a new class of high‐dimensional multiresponse partially functional linear regressions (MR‐PFLRs) to investigate the relationship between scalar responses and a set of explanatory variables, which include both functional and scalar types.
Cai X, Cao J, Yan X, Zhao P.
europepmc +2 more sources
Recognition and Characterization of Forest Plant Communities through Remote-Sensing NDVI Time Series
Diversity, 2020 Phytosociology is a reference method to classify vegetation that relies on field data. Its classification in hierarchical vegetation units, from plant associations to class level, hierarchically reflects the floristic similarity between different sites ...
Simone Pesaresi +2 more
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Functional factor analysis for periodic remote sensing data [PDF]
, 2012 We present a new approach to factor rotation for functional data. This is achieved by rotating the functional principal components toward a predefined space of periodic functions designed to decompose the total variation into components that are nearly ...
Friedl, Mark +3 more
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GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2015 Spanis abstract. El análisis de datos funcionales ha cobrado gran relevancia en los últimos años, convirtiéndose en un importante campo de investigación en la Estadística.
Cristina O. Chávez Chong +2 more
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