Zobrazeno 1 - 10
of 3 954
pro vyhledávání: '"Variable kernel density estimation"'
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-14
When the underlying density exhibits multiple modes with different scales and orientations, density estimators with locally adaptive smoothing parameters show substantial gains over those with fixe...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d810479c959c8bd9da268cf598ea7a
https://doi.org/10.1080/03610918.2021.1963449
https://doi.org/10.1080/03610918.2021.1963449
Publikováno v:
Computers & Graphics. 97:19-27
Screened Poisson Surface Reconstruction has a good performance among the state-of-art surface reconstruction algorithms in obtaining a triangle mesh from oriented points. In order to better deal with nonuniform point clouds, Screened Poisson Surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9025efc4c3087b4a8bbb23491ed07a0e
https://doi.org/10.1016/j.cag.2021.04.005
https://doi.org/10.1016/j.cag.2021.04.005
Publikováno v:
Neural Computing and Applications. 35:13119-13134
Taxi demand prediction is essential to build efficient traffic transportation systems for smart city. It helps to properly allocate vehicles, ease the traffic pressure and improve passengers’ experience. Traditional taxi demand prediction methods m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1d7224b69d9c421f3a50c2ec84a5df8
https://doi.org/10.1007/s00521-021-06092-6
https://doi.org/10.1007/s00521-021-06092-6
Autor:
Santanu Dutta
Publikováno v:
Journal of Data Science. 12:405-416
It is always useful to have a confidence interval, along with a single estimate of the parameter of interest. We propose a new algorithm for kernel based interval estimation of a density, with an aim to minimize the coverage error. The bandwidth used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e0baf7cb8aac12d8a8ef528fa8b1710
https://doi.org/10.6339/jds.201407_12(3).0002
https://doi.org/10.6339/jds.201407_12(3).0002
Publikováno v:
Monte Carlo Methods and Applications. 27:57-69
In this paper, we consider the procedure for deriving variable bandwidth in univariate kernel density estimation for nonnegative heavy-tailed (HT) data. These procedures consider the Birnbaum–Saunders power-exponential (BS-PE) kernel estimator and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8acadfbb72f0191b0eaf4c3e3f1054
https://doi.org/10.1515/mcma-2021-2082
https://doi.org/10.1515/mcma-2021-2082
Publikováno v:
IET Generation, Transmission & Distribution. 14:1261-1270
Voltage sag frequency estimation is necessary for understanding the voltage sag severity in power system and offering full information for the interested parties to mitigate voltage sag. The high penetration of wind power in the power system and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99203aaa99b38c084d0afa5ac7d19412
https://doi.org/10.1049/iet-gtd.2019.1543
https://doi.org/10.1049/iet-gtd.2019.1543
Publikováno v:
Journal of the Korean Statistical Society. 49:475-498
Progressive censoring is essential for researchers in industry as a mean to remove subjects before the final termination point in order to save time and reduce cost. Recently, kernel density estimation has been intensively investigated due to its asy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfae69dd4f8eae32115e614bc6bda8a2
https://doi.org/10.1007/s42952-019-00022-y
https://doi.org/10.1007/s42952-019-00022-y
Kernel density estimation is an important technique for understanding the distributional properties of data. Some investigations have found that the estimation of a global bandwidth can be heavily affected by observations in the tail. We propose to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf29d0afe02df3cb85e75d02799ee5fa
Publikováno v:
Journal of Mechanical Science and Technology. 33:4877-4890
Trajectory similarity-based prediction (TSBP) is an emerging real-time remaining useful life (RUL) prediction method that has drawn considerable attention in the field of data-driven prognostics. TSBP is fast, and the corresponding model is easy to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38d6f4ebdb5c8f72752dc7ef2752a98c
https://doi.org/10.1007/s12206-019-0928-3
https://doi.org/10.1007/s12206-019-0928-3
Publikováno v:
IEEE Transactions on Smart Grid. 10:3292-3300
This paper presents a nonparametric algorithm to estimate probability density functions of power flow outputs in unbalanced distribution systems. The proposed algorithm is based on an adaptive kernel density estimation. As the main advantage, the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2238a08b6f61868331209a4197db08e
https://doi.org/10.1109/tsg.2018.2823058
https://doi.org/10.1109/tsg.2018.2823058