Sentence examples for more predictors than from inspiring English sources

Genotype data are high-dimensional, and usually consist of many more predictors than observations.

With more predictors than observations, a multiple regression model cannot be fitted.

When predictors are exactly correlated, or there are more predictors than observations, maximum likelihood estimates are not defined.

Our proposed method is valid when the regression problem comprises more predictors than observations, and is based on an established technique, that of Hoerl et al.

proposed the following choice of ridge parameter: 4where When, kHKB is not defined, because it is dependent on the ordinary least squares regression (OLSR) coefficients that are themselves not defined when the data have more predictors than observations.

With evidence that using with as a shrinkage estimator can result in improved estimates of compared to when kHKB is used, our method is naturally extensible to data with more predictors than observations.

Our method is particularly useful when the regression problem comprises more predictor variables than observations, a situation that often arises in genetic data.

Conventional regression and classification methods are unable to process data with more predictor variables than samples (so called p >> N problem).

Other potential problems with parametric regression models are that 1) they cannot include more predictor variables than the number of observations without recourse to prior information (6) and 2) inclusion of highly correlated variables may cause problems due to collinearity.

Since there are more predictor variables than subjects (p > n), to tackle the high-dimensionality problem we use a cyclic coordinate descent algorithm, which has been shown to be computationally efficient [ 30- 33].

The Poisson portion of Model 3 has several more significant predictors than the logit portion.