Results 31 to 40 of about 33,300,374 (339)
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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The K Nearest Neighbors Estimation of the Conditional Hazard Function for Functional Data
Revstat Statistical Journal, 2014 In this paper, we study the nonparametric estimator of the conditional hazard function using the k nearest neighbors (k-NN) estimation method for a scalar response variable given a random variable taking values in a semi-metric space. We give the almost
Mohammed Kadi Attouch +1 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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Models of Functional Neuroimaging Data [PDF]
Current Medical Imaging Reviews, 2006 Inferences about brain function, using functional neuroimaging data, require models of how the data were caused. A variety of models are used in practice that range from conceptual models of functional anatomy to nonlinear mathematical models of hemodynamic responses (e.g.
Stephan, K E +3 more
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Principal component analysis for functional data on Riemannian manifolds and spheres [PDF]
Annals of Statistics, 2017 Functional data analysis on nonlinear manifolds has drawn recent interest. Sphere-valued functional data, which are encountered for example as movement trajectories on the surface of the earth, are an important special case.
Xiongtao Dai, H. Muller
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Spatial prediction of soil infiltration using functional geostatistics
Acta Universitatis Carolinae Geographica, 2018 The infiltration of water into the soil is a necessary parameter for irrigation systems design. Characterizing its spatial behavior allows a site-specific management of water according to soil conditions and crop requirements. The aim of this study is to
Diego Leonardo Cortes-D +2 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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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
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