Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Qiaojing Liu"'
Autor:
Shoujiang Zhao, Qiaojing Liu
Publikováno v:
Journal of Probability and Statistics, Vol 2011 (2011)
We study the large deviations and moderate deviations of hypothesis testing for squared radial Ornstein-Uhleneck model. Large deviation principles for the log-likelihood ratio are obtained, by which we give negative regions in testing squared radial
Externí odkaz:
https://doaj.org/article/eb65f8686dfe4ef7867025b91448eddc
Publikováno v:
Chemical Engineering Research and Design. 190:353-365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c2235a016f3bb8b1274e4ace3ac835
https://doi.org/10.1016/j.cherd.2022.12.049
https://doi.org/10.1016/j.cherd.2022.12.049
Publikováno v:
Journal of environmental management. 325
Activated carbon-supported nano-zero-valent iron (nZVI@AC) is considered to be one of the most promising materials for in-situ remediation of pollutants in aqueous environment, while liquid phase reduction (LPR) is one of the most commonly used prepa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3b6671f83ea7a26f6ab8176d03dafa
https://pubmed.ncbi.nlm.nih.gov/36323115
https://pubmed.ncbi.nlm.nih.gov/36323115
Autor:
Jiazhen Cui, Qiaojing Liu
Publikováno v:
Statistics & Probability Letters. 192:109690
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b3a6c78823ecef8a79b3fb2426626d9
https://doi.org/10.1016/j.spl.2022.109690
https://doi.org/10.1016/j.spl.2022.109690
Publikováno v:
Statistics & Probability Letters. 138:143-150
We consider the large deviation principle for maximum likelihood estimator of α -Brownian bridge. The full large deviation with explicit rate function is obtained in the case of non-Gaussian limit distribution by local large deviation principle and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca8167aa67bcc7a9deec72c53ddcb1a4
https://doi.org/10.1016/j.spl.2018.03.001
https://doi.org/10.1016/j.spl.2018.03.001
Autor:
Fuqing Gao, Qiaojing Liu
Publikováno v:
Frontiers of Mathematics in China. 13:25-40
We introduce two exponentially stochastic differentiability conditions to study moderate deviations for M-estimators. Under a generalized exponentially stochastic differentiability condition, a moderate deviation principle is established. Some suffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e41362bf707960858a9d14ce625992c9
https://doi.org/10.1007/s11464-017-0668-6
https://doi.org/10.1007/s11464-017-0668-6
Autor:
Shoujiang Zhao, Qiaojing Liu
Publikováno v:
Statistics & Probability Letters. 162:108753
We establish the large deviation principle for maximum likelihood estimator of some diffusion process. We overcome the difficulty of non-steepness and obtain large deviations in the case of non-Gaussian limit distribution by local large deviation pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7f7e06c39a54a4f04631fe7ab040db7
https://doi.org/10.1016/j.spl.2020.108753
https://doi.org/10.1016/j.spl.2020.108753
Publikováno v:
International Journal of Stochastic Analysis. 2013, p1-4. 4p.
Autor:
Shoujiang Zhao, Qiaojing Liu
Publikováno v:
Statistics & Probability Letters. 83:1372-1381
In this paper we establish moderate deviations of regression function estimator on functional data. The pointwise moderate deviation principles of Nadaraya–Watson type estimator is considered by exponential equivalence. Depending on the Vapnik–Ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3307133389e482f6221e8fff71ea6849
https://doi.org/10.1016/j.spl.2013.01.027
https://doi.org/10.1016/j.spl.2013.01.027
Autor:
Shoujiang Zhao, Qiaojing Liu
Publikováno v:
Statistics & Probability Letters. 82:1175-1184
We study moderate deviations of some nonparametric estimators with ordinary smooth measurement errors. The moderate deviation principles for the kernel estimators of regression functions and conditional distribution functions are obtained.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9af2b37587e3d719e85ea0e45579e7
https://doi.org/10.1016/j.spl.2012.02.015
https://doi.org/10.1016/j.spl.2012.02.015