Results 21 to 30 of about 33,054,453 (365)
bioRxiv, 2021 Even though automated functional annotation of genes represents a fundamental step in most genomic and metagenomic workflows, it remains challenging at large scales.
C. Cantalapiedra +4 more
semanticscholar +1 more source
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
doaj +1 more source
Recent developments in complex and spatially correlated functional data [PDF]
Brazilian Journal of Probability and Statistics, 2020 As high-dimensional and high-frequency data are being collected on a large scale, the development of new statistical models is being pushed forward. Functional data analysis provides the required statistical methods to deal with large-scale and complex ...
Israel Mart'inez-Hern'adez, M. Genton
semanticscholar +1 more source
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
doaj +1 more source
Bayesian function‐on‐function regression for multilevel functional data [PDF]
Biometrics, 2015 SummaryMedical and public health research increasingly involves the collection of complex and high dimensional data. In particular, functional data—where the unit of observation is a curve or set of curves that are finely sampled over a grid—is frequently obtained.
Meyer, Mark J +4 more
openaire +4 more sources
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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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. Functional linear auto-regression models are fitted using both bottom-up and topdown design methodologies. The advantages and
Birbilas, Algimantas +1 more
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Functional anonymisation: Personal data and the data environment [PDF]
Computer Law & Security Review, 2018 Anonymisation of personal data has a long history stemming from the expansion of the types of data products routinely provided by National Statistical Institutes. Variants on anonymisation have received serious criticism reinforced by much-publicised apparent failures.
Mark J. Elliot +8 more
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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
openaire +4 more sources