Sentence examples for sum of regression from inspiring English sources

Lasso applies linear discriminant analysis with minimizing sum of regression coefficients.

In this model, the sum of regression coefficients corresponding to each amplicon was computed and recorded as the amplicon contribution to the signal.

The cost functions investigated correspond to logistic regression, homoscedastic Gaussian (i.e. conventional sum-of-squares) regression and heteroscedastic Gaussian regression.

Growth curves that can be fitted accurately to the regression model have smaller sum of square regression (SSreg) than sum of square total (SStot).

This provides the opportunity to compute the regression coefficients for each observation as a weighted sum of the regression coefficients for the different clusters, where the membership values are used as weights.

The model was constructed by estimating a Cox regression model, maximising a likelihood function with a ridge (sum of squared regression coefficients) penalty term to prevent against over-fitting potentially caused by the small number of events in our study (76 events).

LASSO regression fits a linear model subject to a constraint on the sum of the regression coefficients [ 66].

A clinical model that contained only clinical variables associated with mortality and re-infartion in MASS-II study (age, arterial hypertension and previous myocardial infarction) was built by the sum of Cox regression coefficient values of each variable multiplied by 10, and rounded to the nearest integer (See Table S2 with these values in Supplemental Material).