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
doaj +2 more sources
Functional data analysis of heart rate variability from continuous ECG monitoring in older adults with and without mild cognitive impairment [PDF]
Frontiers in Aging NeuroscienceBackgroundReduced heart rate variability (HRV) has been associated with cognitive decline in older adults. However, prior research relied on brief in-clinic electrocardiography (ECG) recordings to measure HRV.
Jiyue Qin +7 more
doaj +2 more sources
Intrinsic Riemannian functional data analysis [PDF]
The Annals of Statistics, 2019 In this work we develop a novel and foundational framework for analyzing general Riemannian functional data, in particular a new development of tensor Hilbert spaces along curves on a manifold. Such spaces enable us to derive Karhunen-Loeve expansion for Riemannian random processes.
Lin, Zhenhua, Yao, Fang
openaire +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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Functional Data Analysis: An Introduction and Recent Developments [PDF]
Biometrical journal. Biometrische Zeitschrift, 2023 Functional data analysis (FDA) is a statistical framework that allows for the analysis of curves, images, or functions on higher dimensional domains. The goals of FDA, such as descriptive analyses, classification, and regression, are generally the same ...
Jan Gertheiss +3 more
semanticscholar +1 more source
scikit-fda: A Python Package for Functional Data Analysis [PDF]
Journal of Statistical Software, 2022 The library scikit-fda is a Python package for Functional Data Analysis (FDA). It provides a comprehensive set of tools for representation, preprocessing, and exploratory analysis of functional data.
Carlos Ramos-Carreño +4 more
semanticscholar +1 more source
Improving speaker de-identification with functional data analysis of f0 trajectories [PDF]
Speech Communication, 2022 Due to a constantly increasing amount of speech data that is stored in dif-ferent types of databases, voice privacy has become a major concern. To re-spond to such concern, speech researchers have developed various methods for speaker de-identification ...
Lauri Tavi +2 more
semanticscholar +1 more source
Functional data analysis with rough sample paths? [PDF]
Journal of nonparametric statistics (Print), 2021 Functional data are typically modeled as sample paths of smooth stochastic processes in order to mitigate the fact that they are often observed discretely and noisily, occasionally irregularly and sparsely.
N. Mohammadi, Victor M. Panaretos
semanticscholar +1 more source
From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas. [PDF]
J Multivar Anal, 2022 Functional data analysis (FDA), which is a branch of statistics on modeling infinite dimensional random vectors resided in functional spaces, has become a major research area for Journal of Multivariate Analysis.
Li Y, Qiu Y, Xu Y.
europepmc +2 more sources
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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