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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1205621
Abstract: ABSTRACT In this article we prove a central limit theorem for the Lp distance where μ is a weight function and fn is the kernel density estimator proposed by Jones (1991) for length-biased data. The…
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Keywords:
kernel density;
distance;
length biased;
density estimator ... See more keywords
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Published in 2017 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2017.1324968
Abstract: ABSTRACT This paper analyses the large sample behaviour of a varying kernel density estimator of the marginal density of a non-negative stationary and ergodic time series that is also strongly mixing. In particular we obtain…
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Keywords:
time series;
varying kernel;
density;
density estimator ... See more keywords
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Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2016.2626441
Abstract: Recent developments in sensors, global positioning system devices, and smart phones have increased the availability of spatiotemporal data streams. Developing models for mining such streams is challenged by the huge amount of data that cannot…
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Keywords:
data streams;
streams kde;
density;
density estimator ... See more keywords
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Published in 2021 at "Atmosphere"
DOI: 10.3390/atmos12101343
Abstract: Kernel smoothers are often used in Lagrangian particle dispersion simulations to estimate the concentration distribution of tracer gasses, pollutants etc. Their main disadvantage is that they suffer from the curse of dimensionality, i.e., they converge…
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Keywords:
homogeneous meteorological;
estimator;
density estimator;
dispersion ... See more keywords