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NONPARAMETRIC: 作品数：167被引量：156H指数：5; 导出分析报告; 相关领域：理学更多>>; 相关作者：陈晓陈菁钟登华陈亮吴乐南更多>>; 相关机构：东南大学浙江工商大学成都科技大学浙江大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金北京市自然科学基金福建省自然科学基金国家高技术研究发展计划更多>>

Asymmetric interactions among cutting-edge technologies and pioneering conventional and Islamic cryptocurrencies:fresh evidence from intra-day-based good and bad volatilities: 《Financial Innovation》2024年第1期1136-1184,共49页Mahdi Ghaemi Asl David Roubaud; This study examines the nexus between the good and bad volatilities of three technological revolutions—financial technology(FinTech),the Internet of Things,and artificial intelligence and technology—as well as the t...; 关键词：Cryptocurrency Blockchain Financial technology Volatilities Nonparametric quantile causality

Analysis of Heterogeneous Networks with Unknown Dependence Structure: 《Acta Mathematica Sinica,English Series》2024年第12期2953-2983,共31页Fang Mei HOU Jia Xin LIU Shao Gao Lü Hua Zhen LIN; Supported by National Key R&D Program of China (Grant No. 2022YFA1003702);National Natural Science Foundation of China (Grant No. 11931014);New Cornerstone Science Foundation; In multiple heterogeneous networks,developing a model that considers both individual and shared structures is crucial for improving estimation efficiency and interpretability.In this paper,we introduce a semi-parametr...; 关键词：Network data single-indexing network weights nonparametric GMM estimation pairwise penalty

Sufficient variable selection of high dimensional nonparametric nonlinear systems based on Fourier spectrum of density-weighted derivative: 《Applied Mathematics and Mechanics(English Edition)》2024年第11期2011-2022,共12页Bing SUN Changming CHENG Qiaoyan CAI Zhike PENG; Project supported by the National Key Research and Development Program of China(No.2021YFB3400700);the National Natural Science Foundation of China(Nos.12422201,12072188,12121002,and 12372017)。; The variable selection of high dimensional nonparametric nonlinear systems aims to select the contributing variables or to eliminate the redundant variables.For a high dimensional nonparametric nonlinear system,howeve...; 关键词：nonlinear system identification variable selection Fourier spectrum non-parametric nonlinear system

A Practical Guide to Statistical Tests in the Biomedical Field: From Parametric to Nonparametric, Where and How?: 《Journal of Biosciences and Medicines》2024年第11期1-14,共14页Adil Gourinda Hicham El Bouri Faïza Charif Zaynab Mahdi Fadila Bousgheiri Karima Sammoud Saloua Lemrabett Adil Najdi; Healthcare decisions are based on scientific evidence obtained from medical studies by gathering data and analyzing it to obtain the best results. When analyzing data, biostatistics is a powerful tool, but healthcare ...; 关键词：Teaching Statistics Distribution NORMALITY TRANSFORMATION Nonparametric Test Parametric Test

A fiducial approach to the nonparametric deconvolution problem:The discrete case: 《Science China Mathematics》2024年第11期2653-2670,共18页Yifan Cui Jan Hannig; supported by National Natural Science Foundation of China(Grant No.U23A2064);Singapore Ministry of Education;U.S.National Institute of Health;U.S.National Science Foundation。; Fiducial inference is applied to nonparametric g-modeling in the discrete case.We propose a computationally efficient algorithm to sample from the fiducial distribution and use the generated samples to construct point...; 关键词：confidence intervals empirical Bayes fiducial inference nonparametric deconvolution

Nonparametric statistical analysis of system resilience migration and application for electric distribution structures: 《Resilient Cities and Structures》2024年第3期92-105,共14页ZhiQiang Chen Prativa Sharma; supported by the National Science Foundation(NSF)under Award Number IIA-1355406.; This paper proposes a set of nonparametric statistical tools for analyzing the system resilience of civil structures and infrastructure and its migration upon changes in critical system parameters.The work is founded ...; 关键词：RESILIENCE Electric distribution Statistical distance RESOURCEFULNESS Nonparametric statistics

A Nonparametric Model Checking Test for Functional Linear Composite Quantile Regression Models: 《Journal of Systems Science & Complexity》2024年第4期1714-1737,共24页XIA Lili DU Jiang ZHANG Zhongzhan; supported by the Natural Science Foundation of China under Grant Nos.11271014 and 11971045。; This paper is focused on the goodness-of-fit test of the functional linear composite quantile regression model.A nonparametric test is proposed by using the orthogonality of the residual and its conditional expectatio...; 关键词：Composite quantile regression consistent test functional data nonparametric test quadratic form

On Performance Characteristics of a Nonparametric Subset Selection Procedure with a Small Randomized Block Experimental Design: 《Applied Mathematics》2024年第9期630-650,共21页Gary C. McDonald Sajidah Alsaeed; This article addresses the issue of computing the constant required to implement a specific nonparametric subset selection procedure based on ranks of data arising in a statistical randomized block experimental design...; 关键词：Rank Statistics Least Favorable Configuration Probability of Correct Selection Slippage Configuration Equal Spaced Configuration Counterexample Configuration

Comparison of Block Design Nonparametric Subset Selection Rules Based on Alternative Scoring Rules: 《Applied Mathematics》2024年第5期355-389,共35页Gary C. McDonald Sajidah Alsaeed; This article compares the size of selected subsets using nonparametric subset selection rules with two different scoring rules for the observations. The scoring rules are based on the expected values of order statisti...; 关键词：Order Statistics Rank Scoring Methods Probability of a Correct Selection Subset Size Motor Vehicle Traffic Fatality Rates Homicide Rates Asymptotic Distributions

Nonparametric Statistical Feature Scaling Based Quadratic Regressive Convolution Deep Neural Network for Software Fault Prediction: 《Computers, Materials & Continua》2024年第3期3469-3487,共19页Sureka Sivavelu Venkatesh Palanisamy; The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software w...; 关键词：Software defect prediction feature selection nonparametric statistical Torgerson-Gower scaling technique quadratic censored regressive convolution deep neural network softstep activation function nelder-mead method

NONPARAMETRIC