Showing 81 - 100 results of 1,265 for search '"kernel density estimation"', query time: 1.94s Refine Results
  1. 81
    ... predictor designed with a novel kernel density estimation algorithm. One main distinctive feature...
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  2. 82
  3. 83
    by YU Wenhao, AI Tinghua
    Published 2015-01-01
    ... significance in the fields of infrastructure planning and urban spatial analysis. The kernel density estimation...
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    Article
  4. 84
    by Tsung-han Chou, 周宗翰
    Published 2007
    ... or distribution function. Consequently, $alpha$ can be estimated by kernel density estimators or empirical...
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  5. 85
    by Wei-Li Huang, 黃偉立
    Published 2014
    ... modeling method based on multi-dimension kernel density estimation (MD-KDE). Also, the new RSS modeling...
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  6. 86
  7. 87
    by Guoqing Li, Weihua Lu, Jing Bian, Fang Qin, Ji Wu
    Published 2019-11-01
    ... based on adaptive diffusion kernel density estimation is proposed in this paper. First, based...
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    Article
  8. 88
  9. 89
    by Rongda Chen, Ze Wang
    Published 2013-01-01
    .... In order to overcome this flaw, the kernel density estimation is introduced and we compare the simulation...
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    Article
  10. 90
    ... the spatial variation of disease risk. Though there exist several options for performing kernel density...
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  11. 91
    by Stinner, Mark
    Published 2013
    ...A technique for establishing L1 asymptotic unbiasedness of a kernel density estimator in Rd...
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  12. 92
  13. 93
  14. 94
    by Guin, C., Hu, Y., Wang, F., Zhu, H.
    Published 2018
    Subjects: ...Spatio-temporal kernel density estimation (STKDE)...
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    Article
  15. 95
    by Qunying Wu, Pingyan Chen
    Published 2013-01-01
    ... conditions, the Berry-Esseen type bounds are derived for the kernel density estimator and the Kaplan-Meier...
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    Article
  16. 96
    by Stinner, Mark
    Published 2013
    ...A technique for establishing L1 asymptotic unbiasedness of a kernel density estimator in Rd...
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  17. 97
  18. 98
    by Huang Kai-Ning, 黃凱寧
    Published 2005
    ... is to derive a new test using logistic regression model, and kernel density estimation. Using Monte Carlo...
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  19. 99
  20. 100
    .... Kernel density estimation applied to fit the distribution of each common physiological indicator...
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