Results 11 to 20 of about 6,800,650 (283)
Longitudinal functional data analysis [PDF]
Stat, 2015 We consider dependent functional data that are correlated because of a longitudinal‐based design: each subject is observed at repeated times and at each time, a functional observation (curve) is recorded. We propose a novel parsimonious modelling framework for repeatedly observed functional observations that allows to extract low‐dimensional features ...
Park, So Young, Staicu, Ana-Maria
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Functional data analysis in shape analysis [PDF]
Computational Statistics & Data Analysis, 2011 Mid-level processes on images often return outputs in functional form. In this context the use of functional data analysis (FDA) in image analysis is considered. In particular, attention is focussed on shape analysis, where the use of FDA in the functional approach (contour functions) shows its superiority over other approaches ...
Irene Epifanio, Noelia Ventura-Campos
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LorDist: a novel method for calculating the distance based on functional data analysis with application to longitudinal microbial data [PDF]
Microbiology SpectrumLongitudinal human microbial data offer insights into microbiome dynamics over time. Traditional methods usually overlook temporal relationships among samples from the same subject.
Xinhe Qi +7 more
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Functional data analysis and prediction tools for continuous glucose-monitoring studies [PDF]
Journal of Clinical and Translational Science, 2021 Introduction: To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns.
Emrah Gecili +6 more
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Bayesian Functional Data Analysis Using WinBUGS [PDF]
Journal of Statistical Software, 2010 We provide user friendly software for Bayesian analysis of functional data models using WinBUGS 1.4. The excellent properties of Bayesian analysis in this context are due to: (1) dimensionality reduction, which leads to low dimensional projection bases; (
Ciprian M. Crainiceanu +1 more
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Functional data analysis for computational biology. [PDF]
Bioinformatics, 2019 Abstract Supplementary information: Supplementary data are available at Bioinformatics online.
Cremona MA +5 more
europepmc +5 more sources
Bayesian Functional Data Analysis in Astronomy
Physical Sciences ForumCosmic demographics—the statistical study of populations of astrophysical objects—has long relied on tools from multivariate statistics for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular ...
Thomas Loredo +3 more
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Semi-automated thrombin dynamics applying the ST Genesia thrombin generation assay
Frontiers in Cardiovascular Medicine, 2022 BackgroundThe haemostatic balance is an equilibrium of pro- and anticoagulant factors that work synergistically to prevent bleeding and thrombosis.
Audrey Carlo +8 more
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Assessing the individual roles of FII, FV, and FX activity in the thrombin generation process
Frontiers in Cardiovascular Medicine, 2022 Thrombin generation (TG) is known as a physiological approach to assess the hemostatic function. Although it correlates well with thrombosis and bleeding, in the current setup it is not sensitive to the effects of fluctuations in single coagulation ...
Cuicui Bai +8 more
doaj +1 more source
Scientific Reports, 2021 Factor (F) VIII deficiency causes bleeding in haemophilia A patients because of the reduced formation of procoagulant enzyme thrombin, which is needed to make the blood clot.
Romy M. W. de Laat-Kremers +4 more
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