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检索条件"主题词=Regression operator"
9 条 记 录,以下是1-10 订阅
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Nonparametric Functional Graphical Modeling Through Functional Additive regression operator
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JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 2023年 第543期118卷 1718-1732页
作者: Lee, Kuang-Yao Li, Lexin Li, Bing Zhao, Hongyu Temple Univ Philadelphia PA 19122 USA Univ Calif Berkeley Berkeley CA 94720 USA Penn State Univ University Pk PA 16802 USA Yale Univ New Haven CT USA
In this article, we develop a nonparametric graphical model for multivariate random functions. Most existing graphical models are restricted by the assumptions of multivariate Gaussian or copula Gaussian distributions... 详细信息
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Estimation in nonparametric functional-on-functional models with surrogate responses
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JOURNAL OF MULTIVARIATE ANALYSIS 2023年 第1期198卷
作者: Boumahdi, Mounir Ouassou, Idir Rachdi, Mustapha Univ Cadi Ayyad Ecole Natl Sci Appl Marrakech Morocco Univ Grenoble Alpes Grenoble France
We construct an estimator for the regression operator of a functional response variable using surrogate data, given a functional random variable. The almost complete uniform convergence rate of the estimator is then e... 详细信息
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k-Nearest neighbors local linear regression for functional and missing data at random
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STATISTICA NEERLANDICA 2021年 第1期75卷 42-65页
作者: Rachdi, Mustapha Laksaci, Ali Kaid, Zoulikha Benchiha, Abbassia Al-Awadhi, Fahimah A. Univ Grenoble Alpes UFR SHS AGIM Team Lab AGEIS EA 7407 Bat Michel DuboisBP 47 F-38040 Grenoble 09 France King Khalid Univ Coll Sci Dept Math Abha Saudi Arabia Univ Djillali Liabes Sidi Bel Abbes Lab Stat & Proc Stochast Sidi Bel Abbes Algeria Kuwait Univ Fac Sci Dept Stat & Operat Res Safat Kuwait
We combine thek-Nearest Neighbors (kNN) method to the local linear estimation (LLE) approach to construct a new estimator (LLE-kNN) of the regression operator when the regressor is of functional type and the response ... 详细信息
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Local linear regression modelization when all variables are curves
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STATISTICS & PROBABILITY LETTERS 2017年 121卷 37-44页
作者: Demongeot, Jacques Naceri, Amina Laksaci, Ali Rachdi, Mustapha Univ Grenoble Alpes AGIM Team Lab AGEIS EA 7407 Fac Med Grenoble F-38700 La Tronche France Univ Djillali Liabes Sidi Bel Abbes Lab Stat & Proc Stochast BP 89 Sidi Bel Abbes 22000 Algeria Univ Grenoble Alpes UFR SHS AGIM Team Lab AGEIS EA 7407 BP 47 F-38040 Grenoble 09 France
A nonparametric local linear estimator of the regression function when both the response and the explanatory variables are of the functional kind is constructed. Then its rate of uniform almost-complete convergence is... 详细信息
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Relative-error prediction in nonparametric functional statistics: Theory and practice
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JOURNAL OF MULTIVARIATE ANALYSIS 2016年 146卷 261-268页
作者: Demongeot, Jacques Hamie, Ali Laksaci, Ali Rachdi, Mustapha Univ Grenoble 1 Fac Med Grenoble Univ Grenoble Alpes Lab AGIMFRE 3405CNRS F-38700 La Tronche France Univ Djillali Liabes Sidi Bel Abbes Lab Stat & Proc Stochast BP 89 Sidi Bel Abbes 22000 Algeria Univ Grenoble Alpes Lab AGIM FRE 3405 CNRSUPMFUFR SHS BP 47 F-38040 Grenoble 09 France
In this paper, an alternative kernel estimator of the regression operator of a scalar response variable Y given a random variable X taking values in a semi-metric space is considered. The constructed estimator is base... 详细信息
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Variable selection via additive conditional independence
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 2016年 第5期78卷 1037-1055页
作者: Lee, Kuang-Yao Li, Bing Zhao, Hongyu Yale Univ New Haven CT USA Penn State Univ University Pk PA 16802 USA
We propose a non-parametric variable selection method which does not rely on any regression model or predictor distribution. The method is based on a new statistical relationship, called additive conditional independe... 详细信息
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Modified kernel regression estimation with functional time series data
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STATISTICS & PROBABILITY LETTERS 2016年 114卷 78-85页
作者: Ling, Nengxiang Wang, Chao Ling, Jin Hefei Univ Technol Sch Math Hefei 230009 Peoples R China Hefei Univ Technol Sch Elect & Automat Engn Hefei 230009 PR Peoples R China
This paper derives the asymptotic distribution of a modified kernel regression estimator for strong mixing functional time series data. As a direct consequence, the approximate pointwise confidence interval of regress... 详细信息
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Nonparametric regression estimation for functional stationary ergodic data with missing at random
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JOURNAL OF STATISTICAL PLANNING AND INFERENCE 2015年 162卷 75-87页
作者: Ling, Nengxiang Liang, Longlong Vieu, Philippe Hefei Univ Technol Sch Math Hefei 230009 Peoples R China Univ Toulouse 3 Inst Math F-31062 Toulouse France
In this paper, we investigate the asymptotic properties of the estimator for the regression function operator whenever the functional stationary ergodic data with missing at random (MAR) are considered. Concretely, we... 详细信息
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Local smoothing regression with functional data
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COMPUTATIONAL STATISTICS 2007年 第3期22卷 353-369页
作者: Benhenni, K. Ferraty, F. Rachdi, M. Vieu, P. Univ Grenoble LJK UMR CNRS 5224 UFR SHS F-38040 Grenoble 09 France Univ Toulouse 3 CNRS LSP UMR 5583 F-31062 Toulouse France
Kernel estimates of a regression operator are investigated when the explanatory variable is of functional type. The bandwidths are locally chosen by a data-driven method based on the minimization of a functional versi... 详细信息
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