Výsledky vyhľadávania - "Nonparametric regression and quantile regression"

Kernel machine in semiparametric regression with nonignorable missing responses

Autori: Zhenzhen Fu Ke Yang Yaohua Rong a ďalší

Zdroj: Journal of the Korean Statistical Society. 53:1091-1109

Predmety: semiparametric model, Missing data, regularized estimation, missing not at random, Nonparametric regression and quantile regression, Nonparametric estimation, reproducing kernel Hilbert space, inverse probability weighting, Applications of statistics to biology and medical sciences, meta analysis

Popis súboru: application/xml

Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions: Conglomerate multi-fidelity Gaussian process modeling, with application to heavy-ion collisions

Autori: Yi Ji Henry Shaowu Yuchi Derek Soeder a ďalší

Zdroj: SIAM/ASA Journal on Uncertainty Quantification. 12:473-502

Predmety: FOS: Computer and information sciences, 0209 industrial biotechnology, quark-gluon plasma, Gaussian processes, 02 engineering and technology, computer experiments, 01 natural sciences, surrogate modeling, Bayesian nonparametrics, Methodology (stat.ME), 0103 physical sciences, multi-fidelity modeling, Nonparametric regression and quantile regression, 0101 mathematics, Statistics - Methodology

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2209.13748
https://zbmath.org/7864809
https://doi.org/10.1137/22m1525004

Learning Functions Varying along a Central Subspace: Learning functions varying along a central subspace

Autori: Hao Liu Wenjing Liao

Zdroj: SIAM Journal on Mathematics of Data Science. 6:343-371

Predmety: FOS: Computer and information sciences, sample complexity, 62-07, 62G08, dimension reduction, Mathematics - Statistics Theory, Machine Learning (stat.ML), Statistics Theory (math.ST), Factor analysis and principal components, correspondence analysis, 01 natural sciences, nonparametric regression, Statistics - Machine Learning, central subspace, FOS: Mathematics, Nonparametric regression and quantile regression, 0101 mathematics

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2001.07883
https://zbmath.org/7846458
https://doi.org/10.1137/23m1557751

Optimal Model Average Prediction in Orthogonal Kriging Models: Optimal model average prediction in orthogonal kriging models

Autori: Wang, Jun He, Jiabei Liang, Hua a ďalší

Zdroj: Journal of Systems Science and Complexity. 37:1080-1099

Predmety: Mallows criterion, asymptotic optimality, Nonparametric regression and quantile regression, optimal model averaging, orthogonal kriging model

Popis súboru: application/xml

Optimal Rates for Agnostic Distributed Learning: Optimal rates for agnostic distributed learning

Autori: Jian Li Yong Liu Weiping Wang

Zdroj: IEEE Transactions on Information Theory. 70:2759-2778

Predmety: optimal rates, Ridge regression, shrinkage estimators (Lasso), distributed kernel ridge regression (DKRR), excess risk bounds, Nonparametric regression and quantile regression

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7884647
https://doi.org/10.1109/tit.2023.3344656

An Uncertainty-Aware, Mesh-Free Numerical Method for Kolmogorov PDEs: An uncertainty-aware, mesh-free numerical method for Kolmogorov PDEs

Autori: Daisuke Inoue Yuji Ito Takahito Kashiwabara a ďalší

Zdroj: Journal of Scientific Computing. 103

Predmety: FOS: Computer and information sciences, Numerical Analysis (math.NA), Feynman-Kac formula, Kolmogorov PDE, Computational Engineering, Finance, and Science (cs.CE), Optimization and Control (math.OC), FOS: Mathematics, Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs, Nonparametric regression and quantile regression, Sample path properties, Mathematics - Numerical Analysis, Computer Science - Computational Engineering, Finance, and Science, Mathematics - Optimization and Control, Gaussian process regression

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2405.05626

Anisotropic multidimensional smoothing using Bayesian tensor product P-splines

Autori: Bach, Paul Klein, Nadja

Zdroj: Statistics and Computing, 35 (2), Art.-Nr.: 43

Predmety: ddc:004, FOS: Computer and information sciences, Generalized linear models (logistic models), Kronecker sum, penalized splines, DATA processing & computer science, 05 social sciences, functional ANOVA decomposition, multivariate smoothing, Statistics - Computation, 01 natural sciences, Methodology (stat.ME), Functional data analysis, Markov chain Monte Carlo, 0502 economics and business, Nonparametric regression and quantile regression, 0101 mathematics, Computational methods for problems pertaining to statistics, Statistics - Methodology, Computation (stat.CO), spatio-temporal statistics

Popis súboru: application/xml; application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2211.16218
https://zbmath.org/8005871
https://doi.org/10.1007/s11222-025-10569-y

Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach

Autori: Qiao, Nan Chen, Canyi Zhu, Zhengtian

Zdroj: Statistics and Computing. 35

Predmety: Ridge regression, shrinkage estimators (Lasso), Estimation in multivariate analysis, decentralized estimation, composite quantile regression, heavy-tailed noise, Nonparametric regression and quantile regression, heterogeneity, Computational methods for problems pertaining to statistics, support recovery

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7983932
https://doi.org/10.1007/s11222-024-10547-w

Learning with centered reproducing kernels

Autori: Wang, Chendi Guo, Xin Wu, Qiang

Zdroj: Analysis and Applications. 22:507-534

Predmety: centered reproducing kernels, offset, Learning and adaptive systems in artificial intelligence, Nonparametric regression and quantile regression, Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces), 0101 mathematics, 01 natural sciences, regularized least squares, minimax optimal rate

Popis súboru: application/xml

Simultaneous change-point detection and curve estimation

Autori: Lu, Zhaoying Hao, Ning Zhang, Hao

Zdroj: Statistics and Its Interface. 17:493-500

Predmety: Ridge regression, shrinkage estimators (Lasso), normalized fused Lasso, nonparametric regression, B-splines, Nonparametric regression and quantile regression, jump regression

Popis súboru: application/xml

Nonparametric conditional U-statistics on Lie groups with measurement errors: Nonparametric conditional \(U\)-statistics on Lie groups with measurement errors

Autori: Bouzebda, Salim Taachouche, Nourelhouda

Zdroj: Journal of Complexity. 89:101944

Predmety: Density estimation, Lie groups, Asymptotic properties of nonparametric inference, conditional \(U\)-statistic, Gaussian processes, Central limit and other weak theorems, non-Euclidean data, Nonparametric regression and quantile regression, errors-in-variables, deconvolution, manifold-valued data

Popis súboru: application/xml

Random perturbation subsampling for rank regression with massive data

Autori: He, Sijin Xia, Xiaochao

Zdroj: Statistics and Computing. 35

Predmety: massive data, Statistical aspects of big data and data science, consistency, random perturbation subsampling, rank regression, asymptotic normality, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7983922
https://doi.org/10.1007/s11222-024-10548-9

Online prediction of extreme conditional quantiles via B-spline interpolation

Autori: Li, Zhengpin Wang, Jian Hou, Yanxi

Zdroj: Statistics and Computing. 34

Predmety: Methodology (stat.ME), FOS: Computer and information sciences, extreme conditional quantile, quantile regression, Statistics of extreme values, tail inference, B-splines, generalized Pareto distribution, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics, Statistics - Computation, Statistics - Methodology, Computation (stat.CO)

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2311.13825

K-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses: \(K\)-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses

Autori: Liang, Zhongqi Cai, Li Wang, Suojin a ďalší

Zdroj: Statistics and Computing. 35

Predmety: Linear regression, mixed models, asymptotic optimality, selection consistency, nonignorable missing, model averaging, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics, cross-validation

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7983926
https://doi.org/10.1007/s11222-024-10554-x

Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model

Autori: Li, Jie Song, Yunquan Jian, Ling

Zdroj: Statistics and Computing. 34

Predmety: Ridge regression, shrinkage estimators (Lasso), Time series, auto-correlation, regression, etc. in statistics (GARCH), higher-order nonparametric spatial autoregressive model, Inference from spatial processes, deep neural networks, nonparametric endogenous effect, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics, Artificial neural networks and deep learning, variable selection

Popis súboru: application/xml

A geometrical viewpoint on the benign overfitting property of the minimum ℓ 2 -norm interpolant estimator and its universality: A geometrical viewpoint on the benign overfitting property of the minimum \(\ell_2\)-norm interpolant estimator and its universality

Autori: Lecué, Guillaume Shang, Zong

Zdroj: Probability Theory and Related Fields. 191:1401-1484

Predmety: Limit theorems in probability theory, Linear regression, mixed models, Asymptotic properties of nonparametric inference, benign overfitting, convergence rates, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Mathematics - Statistics Theory, Nonparametric regression and quantile regression, interpolant estimator, 02 engineering and technology, Statistics Theory (math.ST), Nonparametric estimation

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2203.05873

Global debiased DC estimations for biased estimators via pro forma regression

Autori: Lin, Lu Li, Feng

Zdroj: TEST. 32:726-758

Predmety: memory constraint, Ridge regression, shrinkage estimators (Lasso), composition, Asymptotic properties of nonparametric inference, Nonparametric regression and quantile regression, divide-and-conquer, debiased estimation

Popis súboru: application/xml

Convergence rates of oblique regression trees for flexible function libraries

Autori: Cattaneo, Matias D. Chandak, Rajita Klusowski, Jason M.

Zdroj: The Annals of Statistics. 52

Predmety: FOS: Computer and information sciences, decision trees, Mathematics - Statistics Theory, 02 engineering and technology, Statistics Theory (math.ST), neural networks, 01 natural sciences, Methodology (stat.ME), Sequential estimation, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, CART, projection pursuit regression, Nonparametric regression and quantile regression, 0101 mathematics, random forest, Statistics - Methodology, Artificial neural networks and deep learning

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2210.14429
https://zbmath.org/7860621
https://doi.org/10.1214/24-aos2354

Generalized pareto regression trees for extreme event analysis: Generalized Pareto regression trees for extreme event analysis

Autori: Farkas, Sébastien Heranval, Antoine Lopez, Olivier a ďalší

Zdroj: Extremes. 27:437-477

Predmety: Classification and discrimination, cluster analysis (statistical aspects), extreme value theory, Statistics of extreme values, tail inference, generalized Pareto distribution, Mathematics - Statistics Theory, regression trees, 02 engineering and technology, Statistics Theory (math.ST), 01 natural sciences, Extreme value theory, extremal stochastic processes, concentration inequalities, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Order statistics, empirical distribution functions, Nonparametric regression and quantile regression, 0101 mathematics

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2112.10409

Importance measure analysis of design variables and uncertain parameters in multidisciplinary systems

Autori: Yuhua Yan Xiaojun Wang Yifei Li a ďalší

Zdroj: Applied Mathematical Modelling. 107:296-315

Predmety: Bayes theorem, Reliability, availability, maintenance, inspection in operations research, Bayesian problems, characterization of Bayes procedures, 0103 physical sciences, multidisciplinary systems, 0202 electrical engineering, electronic engineering, information engineering, uncertain parameters, Nonparametric regression and quantile regression, 02 engineering and technology, design variables, 01 natural sciences, comprehensive reliability-based importance measure

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7635459
https://doi.org/10.1016/j.apm.2022.01.029