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Function Estimation and Functional Data Analysis
1994The roughness penalty method is widely used in function estimation, and is closely related to methods of regularization well known in numerical analysis. Some background to the development of this method is discussed. The versatility of the method is illustrated by its application to an unusual smoothing problem, involving the estimation of a branching
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Functional Data Analysis for Spectroscopy Data
2020We propose a functional data analysis approach for the study of spectroscopy data. The applicative problem concerns the characterization of the spectral response of silicate glasses in order to infer the chemical composition of the materials from spectral data, which can be remotely collected.
M. S. Bernardi +8 more
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Empirical Dynamics and Functional Data Analysis
2010We review some recent developments on modeling and estimation of dynamic phenomena within the framework of Functional Data Analysis (FDA). The focus is on longitudinal data which correspond to sparsely and irregularly sampled repeated measurements that are contaminated with noise and are available for a sample of subjects. A main modeling assumption is
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Micro/nano functional devices fabricated by additive manufacturing
Progress in Materials Science, 2023Guangbin Shao
exaly
Functional Imaging of Cancer with Emphasis on Molecular Techniques
Ca-A Cancer Journal for Clinicians, 2007Mohamed Houseni, Drew A Torigian
exaly