Results 51 to 60 of about 214,708 (186)
Recursive kernel density estimators under missing data
, 2016 In this paper we propose an automatic bandwidth selection of the recursive kernel density estimators with missing data in the context of global and local density estimation.
Slaoui, Yousri
core +3 more sources
KDE Bioscience: Platform for bioinformatics analysis workflows
Journal of Biomedical Informatics, 2006 Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the need for standardization. The lack of such common standards combined with unfriendly interfaces make it difficult for biologists to learn how to use these tools and to ...
Lu, Qiang +7 more
openaire +3 more sources
ISPRS International Journal of Geo-Information, 2019 An urban, commercial central district is often regarded as the heart of a city. Therefore, quantitative research on commercial central districts plays an important role when studying the development and evaluation of urban spatial layouts.
Jing Yang +3 more
doaj +1 more source
Nonparametric Inference via Bootstrapping the Debiased Estimator
, 2019 In this paper, we propose to construct confidence bands by bootstrapping the debiased kernel density estimator (for density estimation) and the debiased local polynomial regression estimator (for regression analysis).
Chen, Yen-Chi, Cheng, Gang
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Uso di gvSIG e SEXTANTE per la perimetrazione degli ambiti periurbani
GEOmedia, 2010 Use of gvSIG and SEXTANTE for the perimetration of periurban areas The periurban fringe is the portion of land with characteristics of urbanization that cannot be considered neither urban nor rural.
Gabriele Nolè +2 more
doaj
A Novel Flexible Kernel Density Estimator for Multimodal Probability Density Functions
CAAI Transactions on Intelligence TechnologyEstimating probability density functions (PDFs) is critical in data analysis, particularly for complex multimodal distributions. traditional kernel density estimator (KDE) methods often face challenges in accurately capturing multimodal structures due to
Jia‐Qi Chen +5 more
doaj +1 more source
Hunters like skewness, not risk: evidence of gambling behaviors in the Alaska hunting permit lottery [PDF]
, 2018 Thesis (M.S.) University of Alaska Fairbanks, 2018In Alaska, hunting permits are distributed by traditional lottery. The absence of a preference point system means that applicants have little invested in their applications, and there are a variety of ...
Lane, Brock
core
Manipulation Robustness of Collaborative Filtering Systems
, 2009 A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions, and hence have become targets of manipulation by unscrupulous vendors.
Van Roy, Benjamin, Yan, Xiang
core +4 more sources
, 2002 For en bruker som tidligere bare har brukt MS Windows, er det en stor overgang å gå fra Windows til og skrivebordsmiljøet KDE. Dette prosjektet har hatt som mål å lette denne overgangen for brukerne, og gjøre dem kjent med KDE skrivebordsmiljøet. For å lette denne overgangen har det i løpet av prosjektperioden blitt utviklet et oppsett av KDE, som er ...
Kolstad, Morten +2 more
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KDE spike-phase and history models
, 2022 Here you will find a series of scripts and functions to fit spike-phase models and spike histories. Phase models rely on fitting kernel density estimators to the distribution of rhythmic phase values that coincide with a neuron's spikes. The kernel bandwidth is optimized via cross-validation. History models are fit via logistic regression.
Riviere, Pamela D +3 more
openaire +1 more source