Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Xianwen Ding"'
Autor:
Xianwen Ding, Zhihuang Yang
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3284 (2024)
The paper develops an innovatively adaptive bi-level variable selection methodology for quantile regression models with a diverging number of covariates. Traditional variable selection techniques in quantile regression, such as the lasso and group la
Externí odkaz:
https://doaj.org/article/df1563430a7040e68dc48c29c3b6101d
Publikováno v:
IET Signal Processing, Vol 16, Iss 3, Pp 340-350 (2022)
Abstract The orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm widely used in compressed sensing. The number of iterations required for the OMP algorithm to perform exact the recovery of sparse signals is a fundamental probl
Externí odkaz:
https://doaj.org/article/707144dc9f9f479791c62dbb881c848b
Publikováno v:
IET Signal Processing. 16:340-350
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcdd6bf823842eb0714eb88d61be36b9
https://doi.org/10.1049/sil2.12096
https://doi.org/10.1049/sil2.12096
Publikováno v:
Journal of Statistical Computation and Simulation. 91:2249-2275
In this paper, we develop a model averaging estimation procedure for multiple quantile regression where missingness occurs to the covariates. Our concern is on the improvement of prediction accurac...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc560bc15b159e2d9795e47285a58fcf
https://doi.org/10.1080/00949655.2021.1890733
https://doi.org/10.1080/00949655.2021.1890733
Publikováno v:
Metrika. 83:545-568
The paper concerns the regularized quantile regression for ultrahigh-dimensional data with responses missing not at random. The propensity score is specified by the semiparametric exponential tilting model. We use the Pearson Chi-square type test sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c75860f48123a4f1c0477966662fe581
https://doi.org/10.1007/s00184-019-00744-3
https://doi.org/10.1007/s00184-019-00744-3
Publikováno v:
Computational Statistics & Data Analysis. 122:18-32
A new model-free screening approach called as the slicing fused mean–variance filter is proposed for ultrahigh dimensional data analysis. The new method has the following merits: (i) its implementation does not require specifying a regression form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c424c4c5e56962353683568e38ff20f3
https://doi.org/10.1016/j.csda.2017.10.008
https://doi.org/10.1016/j.csda.2017.10.008
Autor:
Nian-Sheng Tang, Xianwen Ding
Publikováno v:
Journal of Systems Science and Complexity. 31:820-840
This paper considers the estimation problem of distribution functions and quantiles with nonignorable missing response data. Three approaches are developed to estimate distribution functions and quantiles, i.e., the Horvtiz-Thompson-type method, regr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dcd1a9a13fb197573ff1cd0b27e2cc7
https://doi.org/10.1007/s11424-018-6334-6
https://doi.org/10.1007/s11424-018-6334-6
Publikováno v:
Acta Oceanologica Sinica. 35:26-34
The analysis of vegetation-environment relationships has always been a study hotspot in ecology. A number of biotic, hydrologic and edaphic factors have great influence on the distribution of macrophytes within salt marsh. Since the exotic species Sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12448ac16c6e36308e4fdd7e29ffef33
https://doi.org/10.1007/s13131-016-0831-z
https://doi.org/10.1007/s13131-016-0831-z
Autor:
Xianwen Ding, Xiaolin Zou
Publikováno v:
MIPPR 2017: Automatic Target Recognition and Navigation.
The discriminant cut is used to segment the oil spills in synthetic aperture radar (SAR) images. The proposed approach is a region-based one, which is able to capture and utilize spatial information in SAR images. The real SAR images, i.e. ALOS-1 PAL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65b2f7065bde9c3f4c78a725f41425ea
https://doi.org/10.1117/12.2287314
https://doi.org/10.1117/12.2287314
Publikováno v:
Remote Sensing Letters. 5:609-618
The propagation of internal solitary waves (ISWs) in the South China Sea (SCS) was tracked using National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0544190e1d0cb456d1bd8f715d59e5e3
https://doi.org/10.1080/2150704x.2014.949365
https://doi.org/10.1080/2150704x.2014.949365