Results 1 to 10 of about 33,300,374 (339)
Longitudinal Functional Data Analysis [PDF]
Stat, 2015 We consider analysis of dependent functional data that are correlated because of a longitudinal-based design: each subject is observed at repeated time visits and for each visit we record a functional variable.
Park, So Young, Staicu, Ana-Maria
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Point Processes in a Metric Space and Their Applications
Mathematics, 2022 Point processes are important in extreme value theory due to their equivalent formulations of two popular models in various applications: the block maxima models and the peak-over-threshold model.
Yuwei Zhao
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Mathematics, 2022 Stute presented the so-called conditional U-statistics generalizing the Nadaraya–Watson estimates of the regression function. Stute demonstrated their pointwise consistency and the asymptotic normality.
Salim Bouzebda, Inass Soukarieh
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Signature of Alzheimer’s Disease in Intestinal Microbiome: Results From the AlzBiom Study
Frontiers in Neuroscience, 2022 BackgroundChanges in intestinal microbiome composition have been described in animal models of Alzheimer’s disease (AD) and AD patients. Here we investigated how well taxonomic and functional intestinal microbiome data and their combination with clinical
Christoph Laske +13 more
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Entropy, 2023 The convergence rate for free-distribution functional data analyses is challenging. It requires some advanced pure mathematics functional analysis tools.
Ouahiba Litimein +4 more
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Depth-based inference for functional data [PDF]
, 2006 We propose robust inference tools for functional data based on the notion of depth for curves. We extend the ideas of trimmed regions, contours and central regions to functions and study their structural properties and asymptotic behavior.
López Pintado, Sara, Romo, Juan
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A Note on Nonparametric Estimation of Conditional Hazard Quantile Function [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel ...
El Hadj Hamel, Nadia Kadiri, Abbes Rabhi
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Probabilistic Wind Speed Forecasting for Wind Turbine Allocation in the Power Grid
Energies, 2023 To face the growing electricity demand, several countries have adopted the solution of clean energy and use renewable energy sources (e.g., wind and solar) to reinforce the stability of the power network, especially during peak demand periods ...
Mohamed Chaouch
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A Novel Curve Clustering Method for Functional Data: Applications to COVID-19 and Financial Data
Analytics, 2023 Functional data analysis has significantly enriched the landscape of existing data analysis methodologies, providing a new framework for comprehending data structures and extracting valuable insights. This paper is dedicated to addressing functional data
Ting Wei, Bo Wang
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Dependent Functional Data [PDF]
ISRN Probability and Statistics, 2012 This paper reviews recent research on dependent functional data. After providing an introduction to functional data analysis, we focus on two types of dependent functional data structures: time series of curves and spatially distributed curves. We review statistical models, inferential methodology, and possible extensions.
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