Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Guangming Deng"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 27607-27626 (2024)
To identify critical genomes that influence a cancer patient's survival time, feature screening methods play a vital role in this biomedical field. Most of the current research relies on a fixed survival function model, which limits its universality
Externí odkaz:
https://doaj.org/article/c28ba8738ecd4ef3bd51763997c6d94e
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 4032-4056 (2024)
Statistical inference for missing data is common in data analysis, and there are still widespread cases of missing data in big data. The literature has discussed the practicability of two-stage feature screening with categorical covariates missing at
Externí odkaz:
https://doaj.org/article/3551b31f136c4c7e83c15993d0210f14
Autor:
Qingqing Jiang, Guangming Deng
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 2874-2907 (2024)
Currently, most of the ultra-high-dimensional feature screening methods for categorical data are based on the correlation between covariates and response variables, using some statistics as the screening index to screen important covariates. Thus, wi
Externí odkaz:
https://doaj.org/article/6c3e9998d22a4a65ae691aa6afe450b0
Publikováno v:
Journal of Mathematics, Vol 2024 (2024)
The analysis of biogenetic data makes an important contribution to the understanding of disease mechanisms and the diagnosis of rare diseases. In this analysis, the selection of significant features affecting the disease provides an effective basis f
Externí odkaz:
https://doaj.org/article/d30addae35ec4108a97aa6b4988790c1
Publikováno v:
AIMS Mathematics, Vol 8, Iss 2, Pp 4342-4362 (2023)
Because the majority of model-free feature screening methods concentrate on individual predictors, they are unable to consider structured predictors, such as grouped variables. In this study, we suggest a model-free and direct extension of the origin
Externí odkaz:
https://doaj.org/article/ff66750ca8b4488190a20f5bf9d51349
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
Most model-free feature screening approaches focus on the -individual predictor; therefore, they are not able to incorporate structured predictors like grouped variables. In this article, we propose a group screening procedure via the information gai
Externí odkaz:
https://doaj.org/article/95cca40a4a24404fa7e5424050be1848
Autor:
Hanji He, Guangming Deng
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
We extend the mean empirical likelihood inference for response mean with data missing at random. The empirical likelihood ratio confidence regions are poor when the response is missing at random, especially when the covariate is high-dimensional and
Externí odkaz:
https://doaj.org/article/0784c68d5e7f407d9a10d98ba0acb629
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 960 (2021)
The explosive growth of spatial data and the widespread use of spatial databases emphasize the need for spatial data mining. The subsets of features frequently located together in a geographic space are called spatial co-location patterns. It is diff
Externí odkaz:
https://doaj.org/article/78ccbc02ad2e44af9ef0e624f6e6bf4f
Autor:
Zhen Jia, Guangming Deng
Publikováno v:
Journal of Applied Mathematics, Vol 2012 (2012)
We propose a mathematical model of a complex dynamical network consisting of two types of chaotic oscillators and investigate the schemes and corresponding criteria for cluster synchronization. The global asymptotically stable criteria for the linear
Externí odkaz:
https://doaj.org/article/2fdebb7d1ab04b869ea14cabcf211001
Autor:
Zhen Jia, Guangming Deng
Publikováno v:
Journal of Applied Mathematics, Vol 2012 (2012)
The generalized projective synchronization (GPS) of chaotic systems with uncertain parameter noise and external disturbance is discussed. Based on the adaptive technique, a response system is constructed, and a novel adaptive controller is designed t
Externí odkaz:
https://doaj.org/article/4319b9be5fa84511b996a40c6753487c