M
M. C. Jones
Researcher at Open University
Publications - 189
Citations - 13690
M. C. Jones is an academic researcher from Open University. The author has contributed to research in topics: Kernel density estimation & Estimator. The author has an hindex of 44, co-authored 185 publications receiving 12490 citations. Previous affiliations of M. C. Jones include IBM & University of Bath.
Papers
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A reliable data-based bandwidth selection method for kernel density estimation
Simon J. Sheather,M. C. Jones +1 more
TL;DR: The key to the success of the current procedure is the reintroduction of a non- stochastic term which was previously omitted together with use of the bandwidth to reduce bias in estimation without inflating variance.
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A Brief Survey of Bandwidth Selection for Density Estimation
TL;DR: In this article, the authors recommend a "solve-the-equation" plug-in bandwidth selector as being most reliable in terms of overall performance for kernel density estimation.
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Robust and efficient estimation by minimising a density power divergence
TL;DR: In this article, a minimum divergence estimation method is developed for robust parameter estimation, which uses new density-based divergences which avoid the use of nonparametric density estimation and associated complications such as bandwidth selection.
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Local Linear Quantile Regression
Keming Yu,M. C. Jones +1 more
TL;DR: In this paper, a nonparametric regression quantile estimation by kernel weighted local linear fitting (KWLLEF) is proposed. But it is based on localizing the characterization of a regression quantiles as the minimizer of E{pp (Y − a)|X = x, where ρp is the appropriate check function.
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Simple boundary correction for kernel density estimation
TL;DR: In this article, a unified framework is provided which covers a number of straightforward methods and allows for their comparison: generalized jackknifing generates a variety of simple boundary kernel formulae.