Search Results - "Nonparametric regression and quantile regression"

Kernel machine in semiparametric regression with nonignorable missing responses

Authors: Zhenzhen Fu Ke Yang Yaohua Rong et al.

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

Subject Terms: 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

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

Authors: Yi Ji Henry Shaowu Yuchi Derek Soeder et al.

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

Subject Terms: 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

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Access URL: 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

Authors: Hao Liu Wenjing Liao

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

Subject Terms: 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

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Access URL: 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

Authors: Wang, Jun He, Jiabei Liang, Hua et al.

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

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

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

Authors: Jian Li Yong Liu Weiping Wang

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

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

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

RODEO for Sparse Nonparametric Regression and Quantile Regression with Censored Data

Authors: BRUTTI, Pierpaolo

Access URL: http://venus.unive.it/sco2007/ocs/viewabstract.php?id=81
https://hdl.handle.net/11573/331005

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

Authors: Daisuke Inoue Yuji Ito Takahito Kashiwabara et al.

Source: Journal of Scientific Computing. 103

Subject Terms: 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

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Access URL: http://arxiv.org/abs/2405.05626

Anisotropic multidimensional smoothing using Bayesian tensor product P-splines

Authors: Bach, Paul Klein, Nadja

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

Subject Terms: 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

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Access URL: 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

Authors: Qiao, Nan Chen, Canyi Zhu, Zhengtian

Source: Statistics and Computing. 35

Subject Terms: 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

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

Learning with centered reproducing kernels

Authors: Wang, Chendi Guo, Xin Wu, Qiang

Source: Analysis and Applications. 22:507-534

Subject Terms: 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

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Simultaneous change-point detection and curve estimation

Authors: Lu, Zhaoying Hao, Ning Zhang, Hao

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

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

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

Authors: Bouzebda, Salim Taachouche, Nourelhouda

Source: Journal of Complexity. 89:101944

Subject Terms: 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

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Random perturbation subsampling for rank regression with massive data

Authors: He, Sijin Xia, Xiaochao

Source: Statistics and Computing. 35

Subject Terms: 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

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

Online prediction of extreme conditional quantiles via B-spline interpolation

Authors: Li, Zhengpin Wang, Jian Hou, Yanxi

Source: Statistics and Computing. 34

Subject Terms: 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)

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Access URL: 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

Authors: Liang, Zhongqi Cai, Li Wang, Suojin et al.

Source: Statistics and Computing. 35

Subject Terms: 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

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Access URL: 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

Authors: Li, Jie Song, Yunquan Jian, Ling

Source: Statistics and Computing. 34

Subject Terms: 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

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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

Authors: Lecué, Guillaume Shang, Zong

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

Subject Terms: 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

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Access URL: http://arxiv.org/abs/2203.05873

Global debiased DC estimations for biased estimators via pro forma regression

Authors: Lin, Lu Li, Feng

Source: TEST. 32:726-758

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

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Convergence rates of oblique regression trees for flexible function libraries

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

Source: The Annals of Statistics. 52

Subject Terms: 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

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Access URL: 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

Authors: Farkas, Sébastien Heranval, Antoine Lopez, Olivier et al.

Source: Extremes. 27:437-477

Subject Terms: 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

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Access URL: http://arxiv.org/abs/2112.10409