Results 41 to 50 of about 1,574 (90)

Adaptive Bayesian Nonparametric Regression via Stationary Smoothness Priors

Mathematics
A procedure for Bayesian nonparametric regression is described that automatically adjusts the degree of smoothing as the curvature of the underlying function changes.
Justin L. Tobias
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Nonparametric LAD cointegrating regression [PDF]

Journal of Multivariate Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Prewhitening-Based Estimation in Partial Linear Regression Models

Revstat Statistical Journal, 2009
The problem of semiparametric modelling in time series is considered. For this, partial linear regression models are used, that is, regression models where the regression function is the sum of a linear and a nonparametric component.
German Aneiros-Pérez , Juan Manuel Vilar-Fernández   +1 more
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Comparative analysis for traffic flow forecasting models with real-life data in Beijing

Advances in Mechanical Engineering, 2015
Rational traffic flow forecasting is essential to the development of advanced intelligent transportation systems. Most existing research focuses on methodologies to improve prediction accuracy.
Yaping Rong, Xingchen Zhang, Xuesong Feng, Tin-kin Ho, Wei Wei, Dejie Xu   +5 more
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A New Nonparametric Regression for Longitudinal Data

علوم بهداشتی ایران, 2013
In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation.
Hamed Tabesh, Azadeh Saki, Samira Mardaniyan   +2 more
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On the nonparametric estimation of the functional expectile regression

Comptes Rendus. Mathématique, 2020
In this note, we investigate the kernel-type estimator of the nonparametric expectile regression model for functional data. More precisely, we establish the almost complete convergence rate of this estimator under some mild conditions.
Mohammedi, Mustapha, Bouzebda, Salim, Laksaci, Ali   +2 more
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The asymptotic normality of internal estimator for nonparametric regression

Journal of Inequalities and Applications, 2018
In this paper, we aim to study the asymptotic properties of internal estimator of nonparametric regression with independent and dependent data. Under some weak conditions, we present some results on asymptotic normality of the estimator.
Penghua Li, Xiaoqin Li, Liping Chen
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Regression quantiles in nonparametric regression [PDF]

Journal of Nonparametric Statistics, 1994
In a nonparametric setup involving stochastic regressors, regression quantiles relate to the so called conditional quantile functions. Various asymptotic properties of such conditional quantile processes are studied with due emphasis on the underlying design aspects.
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Nonparametric Expectile Shortfall Regression for Complex Functional Structure

Entropy
This paper treats the problem of risk management through a new conditional expected shortfall function. The new risk metric is defined by the expectile as the shortfall threshold.
Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci   +3 more
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Genomic breeding value estimation using nonparametric additive regression models

Genetics Selection Evolution, 2009
Genomic selection refers to the use of genomewide dense markers for breeding value estimation and subsequently for selection. The main challenge of genomic breeding value estimation is the estimation of many effects from a limited number of observations.
Solberg Trygve, Bennewitz Jörn, Meuwissen Theo   +2 more
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