Results 31 to 40 of about 335,347 (295)
An R Package Implementation for Statistical Modeling of Emergence Curves in Weed Science
Proceedings, 2018 Over the last few years, the research group MODES has carried out a research line (in collaboration with researchers from the Sustainable Agriculture Institute of the CSIC in Córdoba) on statistical modeling in weed science. One of the aspects dealt with
Daniel Barreiro-Ures +2 more
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Best Possible Constant for Bandwidth Selection
The Annals of Statistics, 1992 For the data based choice of the bandwidth of a kernel density estimator, several methods have recently been proposed which have a very fast asymptotic rate of convergence to the optimal bandwidth. In particular the relative rate of convergence is the square root of the sample size, which is known to be the best possible.
Fan, Jianqing, Marron, James S.
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Asymptotic normality of local linear regression estimator for mixtures with varying concentrations
Modern Stochastics: Theory and ApplicationsFinite mixtures with different regression models for different mixture components naturally arise in statistical analysis of biological and sociological data. In this paper a model of mixtures with varying concentrations is considered in which the mixing
Daniel Horbunov, Rostyslav Maiboroda
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Bandwidth Selection Problem in Nonparametric Functional Regression [PDF]
Statistika: Statistics and Economy Journal, 2017 The focus of this paper is the nonparametric regression where the predictor is a functional random variable, and the response is a scalar. Functional kernel regression belongs to popular nonparametric methods used for this purpose. The two key problems
Daniela Kuruczová, Jan Koláček
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Bandwidth selection for kernel estimation in mixed multi-dimensional spaces [PDF]
, 2007 Kernel estimation techniques, such as mean shift, suffer from one major drawback: the kernel bandwidth selection. The bandwidth can be fixed for all the data set or can vary at each points.
Aurélie Bugeau +4 more
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FEBS Open Bio, EarlyView.Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source
Wireless Network Optimization for Federated Learning with Model Compression in Hybrid VLC/RF Systems
Entropy, 2021 In this paper, the optimization of network performance to support the deployment of federated learning (FL) is investigated. In particular, in the considered model, each user owns a machine learning (ML) model by training through its own dataset, and ...
Wuwei Huang +5 more
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Bandwidth selection: classical or plug-in?
The Annals of Statistics, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Analysis of interval‐grouped data in weed science: The binnednp Rcpp package
Ecology and Evolution, 2019 Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT).
Daniel Barreiro‐Ures +6 more
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