Ridge Regression in Prediction Problems: Automatic Choice of the Ridge Parameter

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ridge regression in prediction problems: automatic choice of the ridge parameter Supporting Information

Table 1: Four simulation scenarios used in the evaluation of the bias-variance decomposition. The simulation scenarios are taken from Zou & Hastie (2005). scenario n p β Structure of X (1) 100 8 (3, 1.5, 0, 0, 2, 0, 0, 0) corr (i, j) = 0.5|i−j| (2) 100 8 0.85 for all j corr (i, j) = 0.5|i−j| (3) 50 40 βj = { 0 j = (1, . . . , 10, 21, . . . , 30) 1 j = (11, . . . , 20, 31, . . . , 40) corr (i, j...

متن کامل

Ridge Regression in Prediction Problems: Automatic Choice of the Ridge Parameter

To date, numerous genetic variants have been identified as associated with diverse phenotypic traits. However, identified associations generally explain only a small proportion of trait heritability and the predictive power of models incorporating only known-associated variants has been small. Multiple regression is a popular framework in which to consider the joint effect of many genetic varia...

متن کامل

A semi-automatic method to guide the choice of ridge parameter in ridge regression

We consider the application of a popular penalised regression method, Ridge Regression, to data with very high dimensions and many more covariates than observations. Our motivation is the problem of out-of-sample prediction and the setting is high-density genotype data from a genome-wide association or resequencing study. Ridge regression has previously been shown to offer improved performance ...

متن کامل

Influence Diagnostics in Two-Parameter Ridge Regression

Abstract: Identifying influential observations is an important part of the model building process in linear regression. There are numerous diagnostic measures based on different approaches in linear regression analysis. However, the problem of multicollinearity and influential observations may occur simultaneously. Therefore, we propose new diagnostic measures based on the two parameter ridge e...

متن کامل

A Small-Sample Choice of the Tuning Parameter in Ridge Regression.

We propose new approaches for choosing the shrinkage parameter in ridge regression, a penalized likelihood method for regularizing linear regression coefficients, when the number of observations is small relative to the number of parameters. Existing methods may lead to extreme choices of this parameter, which will either not shrink the coefficients enough or shrink them by too much. Within thi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Genetic Epidemiology

سال: 2013

ISSN: 0741-0395,1098-2272

DOI: 10.1002/gepi.21750