Results 31 to 40 of about 12,934,423 (302)
Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model
Mathematics, 2022 The estimation of large functional and longitudinal data, which refers to the estimation of mean function, estimation of covariance function, and prediction of individual trajectory, is one of the most challenging problems in the field of high ...
Mengfei Ran, Yihe Yang
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Independent Component Analysis with Functional Neuroscience Data Analysis [PDF]
Journal of Biomedical Physics and Engineering, 2023 Background: Independent Component Analysis (ICA) is the most common and standard technique used in functional neuroscience data analysis. Objective: In this study, two of the significant functional brain techniques are introduced as a model for ...
Hadeel K Aljobouri
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Maximal autocorrelation functions in functional data analysis [PDF]
Statistics and Computing, 2015 This paper proposes a new factor rotation for the context of functional principal components analysis. This rotation seeks to re-represent a functional subspace in terms of directions of decreasing smoothness as represented by a generalized smoothing metric.
Hooker, Giles, Roberts, Steven
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Scientific Reports, 2023 This study explores influence of charge transfer and X-ray absorption characteristics in aluminum (Al) and copper (Cu) co-doped zinc oxide (ZnO) nanostructures for perovskite solar cell electrodes.
Mandeep Kaur +4 more
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Functional Data Analysis of Tree Data Objects [PDF]
Journal of Computational and Graphical Statistics, 2014 Data analysis on non-Euclidean spaces, such as tree spaces, can be challenging. The main contribution of this article is establishment of a connection between tree-data spaces and the well-developed area of functional data analysis (FDA), where the data objects are curves.
Bhamidi, Shankar +5 more
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Data driven orthogonal basis selection for functional data analysis
Journal of Multivariate Analysis, 2021 Summary: Functional data analysis is typically performed in two steps: first, functionally representing discrete observations, and then applying functional methods, such as the functional principal component analysis, to the so-represented data. While the
Rani Basna, Hiba Nassar, K. Podgórski
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Functional modelling of telecommunications data
Mathematical Modelling and Analysis, 2022 This work deals with statistical modeling and forecasting of telecommunications data. Main mobile traffic events (SMS, Voice calls, Mobile data) are smoothed using B-spline functions and later analyzed in a functional framework.
Algimantas Birbilas +1 more
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Introducing Alternative-Based Thresholding for Defining Functional Regions of Interest in fMRI
Frontiers in Neuroscience, 2017 In fMRI research, one often aims to examine activation in specific functional regions of interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, focusing on avoiding detection of false activation.
Jasper Degryse +5 more
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Increased BMI and Blood Lipids Are Associated With a Hypercoagulable State in the Moli-sani Cohort
Frontiers in Cardiovascular Medicine, 2022 The coagulation system can be assessed by the thrombin generation (TG) assay, and increased TG peak height, endogenous thrombin potential (ETP), and velocity index are associated with an increased risk of thrombosis. Obesity had been reported to increase
Romy de Laat-Kremers +21 more
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Haematologica, 2021 Identification of fusion genes in clinical routine is mostly based on cytogenetics and targeted molecular genetics, such as metaphase karyotyping, fluorescence in situ hybridization and reverse-transcriptase polymerase chain reaction.
Paul Kerbs +11 more
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