Výsledky vyhľadávania - "Linear inference, regression"

A consistent estimator for confounding strength

Autori: Luca Rendsburg Leena Chennuru Vankadara Debarghya Ghoshdastidar a ďalší

Zdroj: Mathematical Statistics and Learning. 7:189-220

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Linear inference, regression, Statistics - Machine Learning, observational data, Machine Learning (stat.ML), random matrix theory, 0101 mathematics, high-dimensional linear regression, 01 natural sciences, Causal inference from observational studies, confounding, Machine Learning (cs.LG)

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2211.01903

Kernel Copula Density Estimation of Hellinger Correlation: Kernel copula density estimation of Hellinger correlation

Autori: Wenjing Liu Zhi Liu

Zdroj: Journal of Statistical Theory and Practice. 19

Predmety: Multivariate analysis, Linear inference, regression, copula density, copula, kernel estimate, Nonparametric inference, Hellinger correlation

Popis súboru: application/xml

Global sensitivity analysis for multivariate outputs using generalized RBF-PCE metamodel enhanced by variance-based sequential sampling

Autori: Chen, Lin Huang, Hanyan

Zdroj: Applied Mathematical Modelling. 126:381-404

Predmety: multivariate outputs, polynomial chaos expansion, Linear inference, regression, global sensitivity analysis, sequential sampling, Mathematical programming, Probabilistic methods, stochastic differential equations, Sobol' indices, radial basis function

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/8018776
https://doi.org/10.1016/j.apm.2023.10.047

Huber Loss Meets Spatial Autoregressive Model: A Robust Variable Selection Method with Prior Information: Huber loss meets spatial autoregressive model: a robust variable selection method with prior information

Autori: Song, Yunquan Zhan, Minmin Zhang, Yue a ďalší

Zdroj: Networks and Spatial Economics. 24:291-311

Predmety: Linear inference, regression, huber loss, linear constraints, freedom, spatial autoregression, Nonparametric inference, Applications of statistics, variable selection

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7846878
https://doi.org/10.1007/s11067-024-09614-6

Doubly robust estimation for non-probability samples with heterogeneity

Autori: Zhan Liu Yi Sun Yong Li a ďalší

Zdroj: Journal of Computational and Applied Mathematics. 465:116567

Predmety: Linear inference, regression, non-probability samples, superpopulation model, Nonparametric inference, heterogeneous data, Applications of statistics, doubly robust estimation

Popis súboru: application/xml

Asymptotic optimality of generalized cross validation and regularized Mallows model averaging

Autori: Chenchen Zou Xin Li Xinmin Li a ďalší

Zdroj: Statistics & Probability Letters. 222:110406

Predmety: Parametric inference, Linear inference, regression, asymptotic optimality, GCV-based model averaging, weight selection, Applications of statistics

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/8023659
https://doi.org/10.1016/j.spl.2025.110406

Compressive‐Sensing‐Assisted Mixed Integer Optimization for Dynamical System Discovery With Highly Noisy Data: Compressive-sensing-assisted mixed integer optimization for dynamical system discovery with highly noisy data

Autori: Tony Shi Mason Ma Hoang Tran a ďalší

Zdroj: Numerical Methods for Partial Differential Equations. 41

Predmety: 0301 basic medicine, Artificial intelligence, mixed-integer optimization, 0303 health sciences, 03 medical and health sciences, machine learning, Linear inference, regression, compressive sensing, dynamical systems, model discovery, Approximation methods and numerical treatment of dynamical systems

Popis súboru: application/xml

Short‐term forecasting with a computationally efficient nonparametric transfer function model: Short-term forecasting with a computationally efficient nonparametric transfer function model

Autori: Jun. M. Liu

Zdroj: Australian & New Zealand Journal of Statistics. 65:187-212

Predmety: Inference from stochastic processes, Linear inference, regression, backfitting, nonparametric smoothing, 0502 economics and business, 05 social sciences, Nonparametric inference, short-term electricity forecasting, time series, 0101 mathematics, ARIMA model, 01 natural sciences

Popis súboru: application/xml

Consistency of LSE for the many-dimensional symmetric textured surface parameters

Autori: Oleksandr Dykyi Alexander Ivanov

Zdroj: Modern Stochastics: Theory and Applications, Vol 10, Iss 3, Pp 267-285 (2023)

Predmety: T57-57.97, Applied mathematics. Quantitative methods, Random fields, image analysis, least squares estimate in the Walker–Brillinger sense, homogeneous and isotropic strongly dependent Gaussian random field, Linear inference, regression, multivariate trigonometric model, least squares estimate in the Walker-Brillinger sense, QA1-939, General nonlinear regression, strong consistency, Multivariate trigonometric model, Mathematics, Asymptotic properties of parametric estimators

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/7721504
https://doi.org/10.15559/23-vmsta225
https://doaj.org/article/af7a62a581de4698b42bc77560120c17

Efficient distributed estimation for expectile regression in increasing dimensions

Autori: Xiaoyan Li Zhimin Zhang

Zdroj: Applied Mathematical Modelling. 142:115974

Predmety: Parametric inference, large-scale asymmetric data, Linear inference, regression, expectile regression, non-randomly distributed scenarios, distributed estimator, Poisson subsampling, Nonparametric inference, increasing dimensions

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/8027079
https://doi.org/10.1016/j.apm.2025.115974

Grey relational analysis in the metric space of continuous functions: Foundations, extensions, and applications: Grey relational analysis in the metric space of continuous functions: foundations, extensions, and applications

Autori: Baolei Wei Yuwen Li

Zdroj: Applied Mathematical Modelling. 142:115978

Predmety: similarity measure, gun barrel, Multivariate analysis, Linear inference, regression, grey relational analysis, metric space, air pollution, Survival analysis and censored data, time series

Popis súboru: application/xml

Some practical regards on the application of the physics-informed sparse identification for strongly NESs

Autori: Qinghua Liu Zehao Hou Ying Zhang a ďalší

Zdroj: Communications in Nonlinear Science and Numerical Simulation. 143:108610

Predmety: sparse identification, Nonlinear dynamics in mechanics, Linear inference, regression, hysteretic nonlinear, piecewise linear, Dynamical problems in solid mechanics, tristable, softening-hardening

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/8014685
https://doi.org/10.1016/j.cnsns.2025.108610

Research on parameter identification of transmission line galloping model under different degrees of freedom

Autori: Xiaohui Liu Libing Chen Chuan Wu a ďalší

Zdroj: Applied Mathematical Modelling. 140:115899

Predmety: Controllability, observability, and system structure, parameter identification, Linear inference, regression, quad bundle, data-driven, transmission line, Approximation methods and numerical treatment of dynamical systems, galloping model

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/8027045
https://doi.org/10.1016/j.apm.2024.115899

Distributed learning with discretely observed functional data

Autori: Jiading Liu Lei Shi

Zdroj: Inverse Problems. 41:045006

Predmety: Sobolev kernels, FOS: Computer and information sciences, Computer Science - Machine Learning, functional linear regression, Linear inference, regression, Multivariate analysis, Statistics - Machine Learning, distributed spectral algorithm, mini-max optimality, Machine Learning (stat.ML), Nonparametric inference, convergence analysis, Machine Learning (cs.LG)

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2410.02376

Convergence analysis of regularised Nyström method for functional linear regression

Autori: Naveen Gupta S Sivananthan

Zdroj: Inverse Problems. 41:045005

Predmety: regularization, Artificial intelligence, functional linear regression, Linear inference, regression, Nyström subsampling, 62R10, 62G20, 65F22, FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), Nonparametric inference, reproducing kernel Hilbert space, covariance operator

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2410.19312
https://zbmath.org/8034687
https://doi.org/10.1088/1361-6420/adbfb6

Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification

Autori: Dimitrios Loukrezis Eric Diehl Herbert De Gersem

Zdroj: Applied Mathematical Modelling. 137:115746

Predmety: multivariate sensitivity analysis, FOS: Computer and information sciences, polynomial chaos expansion, machine learning regression, uncertainty quantification, Probabilistic methods, stochastic differential equations, Stochastic analysis, power grid, curse of dimensionality, surrogate modeling, electric machine, Computational Engineering, Finance, and Science (cs.CE), Linear inference, regression, adaptive approximation, Computer Science - Computational Engineering, Finance, and Science

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2310.09871

Estimation of logistic regression parameters for complex survey datasimulation study based on real survey data

Autori: Iparragirre, Amaia Barrio, Irantzu Aramendi, Jorge a ďalší

Zdroj: BIRD. BCAM's Institutional Repository Data
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Estadística matemàtica, estimation of model parameters, Classificació AMS::62 Statistics::62J Linear inference, Classificació AMS::62 Statistics, Estadística--Taules, logistic regression, Logistic regression, Classificació AMS::62 Statistics::62J Linear inference, regression, Classificació AMS::62 Statistics::62Q05 Statistical tables, Classificació AMS::62 Statistics::62P Applications, real data based simulation study, Mathematical statistics, Sampling weights, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Estimation of model parameters, Complex survey data, Real data based simulation study, regression, complex survey data, Statistics-Tables, sampling weights

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11824/1900
https://ddd.uab.cat/record/292328
https://hdl.handle.net/2117/421371
https://doi.org/10.57645/20.8080.02.14
https://hdl.handle.net/20.500.11824/1900

Small area estimation of the proportion of single-person households: Application to the Spanish Household Budget Survey

Autori: Bugallo, María Morales, Domingo Esteban, María Dolores

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Estadística matemàtica, Classificació AMS::62 Statistics::62J Linear inference, Classificació AMS::62 Statistics, small area estimation, Small area estimation, zero-inflated Poisson mixed model, Classificació AMS::62 Statistics::62D05 Sampling theory, sample surveys, Single-person household, Classificació AMS::62 Statistics::62J Linear inference, regression, Area-level data, sample surveys, Mathematical statistics, Regression analysis, Household budget survey, Classificació AMS::62 Statistics::62D05 Sampling theory, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Household Budget Survey, regression, area-level data, single-person household, Zero-inflated poisson mixed model, Statistics-Tables

Popis súboru: application/pdf; application/zip

Prístupová URL adresa: https://ddd.uab.cat/record/292326
https://hdl.handle.net/2117/421370
https://doi.org/10.57645/20.8080.02.16

An utopic adventure in the modelling of conditional univariate and multivariate extremes: A utopic adventure in the modelling of conditional univariate and multivariate extremes

Autori: Belzile, Léo R. Hazra, Arnab Yadav, Rishikesh

Predmety: conditional extremes modelling, multivariate generalized Pareto distributions, Multivariate analysis, Linear inference, regression, Statistics of extreme values, tail inference, Bayesian inference, cross-validation, Statistics - Applications, Statistics - Methodology, generalized additive models

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2312.13517

On the least squares estimator asymptotic normality of the multivariate symmetric textured surface parameters

Autori: Ivanov, A. V. Savych, I. M.

Zdroj: Theory of Probability and Mathematical Statistics. 105:151-169

Predmety: asymptotic normality, linearization theorem, Random fields, image analysis, 02 engineering and technology, \( \mu \)-admissibility, 01 natural sciences, texture surface, least squares estimate in Walker sense, spectral measure of regression function, asymptotic uniqueness, Linear inference, regression, multivariate trigonometric model, homogeneous and isotropic Gaussian random field, General nonlinear regression, covariance function, spectral density, 0202 electrical engineering, electronic engineering, information engineering, Brouwer fixed-point theorem, 0101 mathematics

Popis súboru: application/xml