نتایج جستجو برای: ridge regression method

تعداد نتایج: 1900430  

Journal: :The Annals of Statistics 1980

Journal: :journal of industrial engineering, international 2005
s raissi r noorossana

process capability indices show the ability of a process to produce products according to the pre-specified requirements. since final quality characteristics of a product are usually interrelated to its previous amounts in earlier workstations, one need to model and consider the relationship among them to assess the process ca-pability properly. hence, conducting process capability analysis in ...

Journal: :Behavior Research Methods & Instrumentation 1980

Journal: :Genetics 2013
Xia Shen Moudud Alam Freddy Fikse Lars Rönnegård

As the molecular marker density grows, there is a strong need in both genome-wide association studies and genomic selection to fit models with a large number of parameters. Here we present a computationally efficient generalized ridge regression (RR) algorithm for situations in which the number of parameters largely exceeds the number of observations. The computationally demanding parts of the ...

Journal: :Communications in Statistics - Simulation and Computation 2013
Håkan Locking Kristofer Månsson Ghazi Shukur

In ridge regression the estimation of the ridge parameter is an important issue. This paper generalizes some methods for estimating the ridge parameter for probit ridge regression (PRR) model based on the work of Kibria et al. (2011). The performance of these new estimators are judged by calculating the mean square error (MSE) using Monte Carlo simulations. In the design of the experiment we ch...

2012
Mehri Khoshhali Hossein Mahjub Massoud Saidijam Jalal Poorolajal Ali Reza Soltanian

The present study was conducted to predict survival time in patients with diffuse large B-cell lymphoma, DLBCL, based on microarray data using Cox regression model combined with seven dimension reduction methods. This historical cohort included 2042 gene expression measurements from 40 patients with DLBCL. In order to predict survival, a combination of Cox regression model was used with seven m...

2012
O. Solaymani Fard

This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the Lagrangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the crossvalidation procedure for selecting the o...

Journal: :Journal of the Association of Arab Universities for Basic and Applied Sciences 2016

Journal: :Journal of Machine Learning Research 2013
Paramveer S. Dhillon Dean P. Foster Sham M. Kakade Lyle H. Ungar

We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a principal component analysis) and then performs an ordinary (un-regularized) least squares regression in this subspace. This note shows that the risk of this ordinary least squares method (PCA-OLS) is within a constant...

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