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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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Optimal Bandwidth Selection Methods with Application to Wind Speed Distribution
Mathematics, 2023 Accurate estimation of the unknown probability density functions of critical variables, such as wind speed—which plays a pivotal role in harnessing clean energy—is essential for various scientific and practical applications.
Necla Gündüz, Şule Karakoç
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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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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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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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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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Systems with selective overflow and change of bandwidth [PDF]
2012 1st IEEE International Conference on Communications in China (ICCC), 2012 We consider a loss system with n channels and a finite or infinite overflow group, which is offered N different services, all having Poisson arrival processes. All calls have same bandwidth demand and mean service time, but the mean service time may be different on the primary group and the overflow group, corresponding to data traffic with different ...
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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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