Results 1 to 10 of about 3,831,939 (119)
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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Categorical Functional Data Analysis. The cfda R Package
Mathematics, 2021 Categorical functional data represented by paths of a stochastic jump process with continuous time and a finite set of states are considered. As an extension of the multiple correspondence analysis to an infinite set of variables, optimal encodings of ...
Cristian Preda +2 more
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Curve Registration of Functional Data for Approximate Bayesian Computation
Stats, 2021 Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures.
Anthony Ebert +3 more
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Major Element Geochemistry of LongShan Loess Profile in the Central Shandong Mountainous regions, Northern China [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 valleys of mountainous regions in central Shandong Province in northern China, have been systematically tested and been compared with the YHC loess in the Loess Plateau to reveal the geochemical characteristics and material sources of LS loess.
Min Ding +4 more
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Local linear approach: Conditional density estimate for functional and censored data
Demonstratio Mathematica, 2022 Let YY be a random real response, which is subject to right censoring by another random variable CC. In this paper, we study the nonparametric local linear estimation of the conditional density of a scalar response variable and when the covariable takes ...
Benkhaled Abdelkader, Madani Fethi
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Mathematics, 2022 Functional data analysis has important applications in biomedical, health studies and other areas. In this paper, we develop a general framework for a mean curve estimation for functional data using a reproducing kernel Hilbert space (RKHS) and derive ...
Ming Xiong +4 more
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A Distance Correlation Approach for Optimum Multiscale Selection in 3D Point Cloud Classification
Mathematics, 2021 Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to determine those features.
Manuel Oviedo-de la Fuente +3 more
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Dynamic Functional Principal Components for Testing Causality
Signals, 2021 In this paper, we investigate the causality in the sense of Granger for functional time series. The concept of causality for functional time series is defined, and a statistical procedure of testing the hypothesis of non-causality is proposed.
Matthieu Saumard, Bilal Hadjadji
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Nonparametric Regression Based on Discretely Sampled Curves
Revstat Statistical Journal, 2020 In the context of nonparametric regression, we study conditions under which the consistency (and rates of convergence) of estimators built from discretely sampled curves can be derived from the consistency of estimators based on the unobserved whole ...
Liliana Forzani +2 more
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