Results 31 to 40 of about 1,926,955 (188)
Robust Estimation and Wavelet Thresholding in Partial Linear Models [PDF]
, 2006 This paper is concerned with a semiparametric partially linear regression model with unknown regression coefficients, an unknown nonparametric function for the non-linear component, and unobservable Gaussian distributed random errors.
Gannaz, Irène
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Model selection for regression on a random design [PDF]
ESAIM: Probability and Statistics, 2002 Summary: We consider the problem of estimating an unknown regression function when the design is random with values in \(\mathbb{R}^k\). Our estimation procedure is based on model selection and does not rely on any prior information on the target function.
openaire +3 more sources
Czech Journal of Animal Science, 2015 The objective of the present study was to estimate genetic parameters and predict breeding values of sport horses in the Czech Republic using animal model variations.
A. Novotná +2 more
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A Simple Class of Bayesian Nonparametric Autoregression Models [PDF]
, 2013 We introduce a model for a time series of continuous outcomes, that can be expressed as fully nonparametric regression or density regression on lagged terms.
Di Lucca, Maria Anna +3 more
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PM2.5 concentration prediction model based on random forest regression analysis
Dianxin kexue, 2017 The random foreat regression algorithm was introduced to solve the shortcomings of neural network in predicting the PM2.5 concentration,such as over-fitting,complex network structure,low learning efficiency.A novel PM2.5 concentration prediction model ...
Xu DU, Jingyu FENG, Shaoqing LV, Wei SHI
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Goodness of Fit Tests in Random Coefficient Regression Models [PDF]
Annals of the Institute of Statistical Mathematics, 1999 Random coefficient regressions have been applied in a wide range of fields, from biology to economics, and constitute a common frame for several important statistical models. A nonparametric approach to inference in random coefficient models was initiated by Beran and Hall.
Delicado, Pedro, Romo, Juan
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Random model trees: an effective and scalable regression method [PDF]
, 2010 We present and investigate ensembles of randomized model trees as a novel regression method. Such ensembles combine the scalability of tree-based methods with predictive performance rivaling the state of the art in numeric prediction.
Pfahringer, Bernhard
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The consistency of estimator under fixed design regression model with NQD errors
, 2013 In this article, basing on NQD samples, we investigate the fixed design nonparametric regression model, where the errors are pairwise NQD random errors, with fixed design points, and an unknown function.
Chen, Xiao-ping +2 more
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Italian Journal of Animal Science, 2021 This study aimed to estimate genetic parameters of reproductive efficiency over a wide age range of females using a random regression model (RRM) in Spanish goat breeds.
Chiraz Ziadi +5 more
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Linearization of randomly weighted empiricals under long range dependence with application to nonlinear regression quantiles [PDF]
, 2000 This paper discusses some asymptotic uniform linearity results of randomly weighted empirical processes based on long range dependent random variables+ These results are subsequently used to linearize nonlinear regression quantiles in a nonlinear ...
Mukherjee, Kanchan
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