Results 21 to 30 of about 2,588,636 (293)
Approximate inference of the bandwidth in multivariate kernel density estimation [PDF]
, 2011 Kernel density estimation is a popular and widely used non-parametric method for data-driven density estimation. Its appeal lies in its simplicity and ease of implementation, as well as its strong asymptotic results regarding its convergence to the true ...
Sanguinetti, G. +3 more
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Bandwidth Selection in Geographically Weighted Regression Models via Information Complexity Criteria
Journal of Mathematics, 2022 The geographically weighted regression (GWR) model is a local spatial regression technique used to determine and map spatial variations in the relationships between variables.
Tuba Koç
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On local bandwidth selection for density estimation
Informatica, 1998 Summary: This article gives ideas for developing statistics software which can work without user intervention. Some popular methods of bandwidth selection for kernel density estimation (nearest neighbour, least squares cross-validation, ``plug-in'' technique) are discussed. Modifications of the cross-validation criterion are proposed.
Rudzkis, Rimantas +1 more
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Realized density estimation using intraday prices
Croatian Review of Economic, Business and Social Statistics, 2020 Availability of high-frequency data, in line with IT developments, enables the use of Availability of high-frequency data, in line with IT developments, enables the use of more information to estimate not only the variance (volatility), but also higher ...
Arnerić Josip
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Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization [PDF]
International Journal of Computational Intelligence Systems, 2010 This paper addresses the problem of generating multi-step-ahead bandwidth prediction. Variation of bandwidth is modeled as a Nu-Support Vector Regression (Nu-SVR) procedure. A parallel procedure is proposed to hybridize constant and binary Particle Swarm
Liang Hu, Xilong Che, Xiaochun Cheng
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The Priestley-Chao Estimator of Conditional Density with Uniformly Distributed Random Design [PDF]
Statistika: Statistics and Economy Journal, 2018 The present paper is focused on non-parametric estimation of conditional density. Conditional density can be regarded as a generalization of regression thus the kernel estimator of conditional density can be derived from the kernel estimator of the ...
Kateřina Konečná
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Local Cross-validation for Spectrum Bandwidth Choice [PDF]
, 2000 We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectral density estimates at a single frequency. This procedure is a modification of a cross-validation technique for global bandwidth choices, avoiding the ...
Velasco, Carlos
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The Quest for Bandwidth Estimation Techniques for large-scale Distributed Systems [PDF]
, 2009 In recent years the research community has developed many techniques to estimate the end-to-end available bandwidth of an Internet path. This important metric can be potentially exploited to optimize the performance of several distributed systems and ...
E. LEONARDI +5 more
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Optimal Bandwidth Selection for Kernel Density Functionals Estimation
Journal of Probability and Statistics, 2015 The choice of bandwidth is crucial to the kernel density estimation (KDE) and kernel based regression. Various bandwidth selection methods for KDE and local least square regression have been developed in the past decade.
Su Chen
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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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