M-ESTIMATION

作品数:23被引量:25H指数:3
导出分析报告
相关领域:自动化与计算机技术理学更多>>
相关作者:付光辉更多>>
相关机构:昆明理工大学更多>>
相关期刊:《Nanomanufacturing and Metrology》《Communications in Mathematics and Statistics》《Frontiers of Mathematics in China》《International Journal of Internet and Distributed Systems》更多>>
相关基金:国家自然科学基金国家重点基础研究发展计划福建省自然科学基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
Bayesian Classifier Based on Robust Kernel Density Estimation and Harris Hawks Optimisation
《International Journal of Internet and Distributed Systems》2024年第1期1-23,共23页Bi Iritie A-D Boli Chenghao Wei 
In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning method, rely on accurate pr...
关键词:CLASSIFICATION Robust Kernel Density Estimation M-ESTIMATION Harris Hawks Optimisation Algorithm Complete Cross-Validation 
Robust Two-Stage Estimation in General Spatial Dynamic Panel Data Models被引量:1
《Journal of Systems Science & Complexity》2023年第6期2580-2604,共25页DING Hao JIN Baisuo WU Yuehua 
supported by the Natural Sciences and Engineering Research Council of Canada under Grant No.RGPIN-2017-05720;the National Natural Science Foundation under Grant Nos.12201601,71873128,11571337,71631006,and 71921001;the Anhui Provincial Natural Science Foundation under Grant No.2208085QA06。
This paper proposes a robust two-stage estimation procedure for a general spatial dynamic panel data model in light of the two-stage estimation procedure in Jin,et al.(2020).The authors replace the least squares estim...
关键词:Asymptotic normality CONSISTENCY M-ESTIMATION model selection OUTLIERS 
Robust Calibration of Computer Models Based on Huber Loss
《Journal of Systems Science & Complexity》2023年第4期1717-1737,共21页SUN Yang FANG Xiangzhong 
This research was supported by the Science Challenge Project under Grant No.TZ2018001.
Recently,uncertainty quantification is getting more and more attention,especially for computer model calibration.However,most of the existing papers assume the errors follow a Gaussian or sub-Gaussian distribution,whi...
关键词:Heavy-tailed error M-ESTIMATION OUTLIERS ROBUSTNESS uncertainty quantification 
Penalized M-Estimation Based on Standard Error Adjusted Adaptive Elastic-Net
《Journal of Systems Science & Complexity》2023年第3期1265-1284,共20页WU Xianjun WANG Mingqiu HU Wenting TIAN Guo-Liang LI Tao 
supported by the National Natural Science Foundation of China under Grant Nos.12271294,12171225 and 12071248.
When there are outliers or heavy-tailed distributions in the data, the traditional least squares with penalty function is no longer applicable. In addition, with the rapid development of science and technology, a lot ...
关键词:Adaptive elastic net -estimation oracle property standard error 
Variational Bayesian Based IMM Robust GPS Navigation Filter被引量:2
《Computers, Materials & Continua》2022年第7期755-773,共19页Dah-Jing Jwo Wei-Yeh Chang 
This work has been partially supported by the Ministry of Science and Technology,Taiwan[Grant Numbers MOST 108-2221-E-019-013 and MOST 109-2221-E-019-010].
This paper investigates the navigational performance of Global Positioning System(GPS)using the variational Bayesian(VB)based robust filter with interacting multiple model(IMM)adaptation as the navigation processor.Th...
关键词:GPS variational bayesian Huber’sM-estimation interacting multiple model adaptive OUTLIER MULTIPATH 
MetaCost与重采样结合的不平衡分类算法——RS-MetaCost被引量:1
《软件导刊》2022年第3期34-41,共8页邹春安 王嘉宝 付光辉 
国家自然科学基金项目(11761041)。
不平衡分类是当今机器学习中的研究热点与难点。为提高不平衡数据的分类效果,提出MetaCost与重采样结合的不平衡分类算法——RS-MetaCost。首先在MetaCost划分子集前对不平衡数据集进行重采样,即过采样少数类或欠采样多数类,以降低或消...
关键词:不平衡分类 MetaCost 重采样 M-ESTIMATION 
Robust Estimation for Poisson Integer-Valued GARCH Models Using a New Hybrid Loss被引量:4
《Journal of Systems Science & Complexity》2021年第4期1578-1596,共19页LI Qi CHEN Huaping ZHU Fukang 
supported by Research Start-up Fund of Changchun Normal University;Natural Science Found of Changchun Normal University under Grant No.2018-004;the National Natural Science Foundation of China under Grant Nos.11871027 and 11731015;Cultivation Plan for Excellent Young Scholar Candidates of Jilin University。
The Poisson integer-valued GARCH model is a popular tool in modeling time series of counts.The commonly used maximum likelihood estimator is strongly influenced by outliers,so there is a need to develop a robust M-est...
关键词:Loss function M-ESTIMATION time series of counts tuning parameter 
Notes on M-Estimation in Exponential Signal Models
《Communications in Mathematics and Statistics》2021年第2期139-151,共13页Shu Ding Yuehua Wu Kwok-Wai Tam 
An M-estimation of the parameters in an undamped exponential signal model was proposed in Wu and Tam(IEEE Trans Signal Process 49(2):373–380,2001),and the estimation was shown to be consistent under mild assumptions....
关键词:Exponential signal model M-ESTIMATION Limiting distribution Recursive algorithm CONSISTENCY 
Verification of Characteristics of Gaussian Filter Series for Surface Roughness in ISO and Proposal of Filter Selection Guidelines
《Nanomanufacturing and Metrology》2021年第2期97-108,共12页Yuki Kondo Ichiro Yoshida Dan Nakaya Munetoshi Numada Hiroyasu Koshimizu 
We would like to thank Editage(www.editage.com)for English language editing.
In surface roughness measurement,if spikes are included in the primary profile,a problem occurs wherein the Gaussian filter(GF)is unable to extract the shape components.To address this problem,the use of a robust filt...
关键词:Surface roughness Gaussian filter Robust filter M-estimation method Fast M-estimation method 
A Proposal of a Spline Filter that Achieves Both Robustness and Lower Compatibility
《Nanomanufacturing and Metrology》2021年第2期77-85,共9页Yuki Kondo Munetoshi Numada Keiya Takahashi Ichiro Yoshida Hiroyasu Koshimizu 
This study is supported by a Grant-in-Aid for Scientific Research No.20K04202 from Japan Society for the Promotion of Science(JSPS).We would like to thank Editage(www.editage.com)for English language editing.
A spline filter is used to extract roughness profiles for the measurement of surface texture and is useful when sufficient sections before and after a primary profile could not be secured.This is because a spline filt...
关键词:Surface roughness Spline filter ROBUSTNESS Lower compatibility End effect M-estimation method 
检索报告 对象比较 聚类工具 使用帮助 返回顶部