Sentence examples for implementing regression from inspiring English sources

Implementing regression methods with p > > n generally requires either shrinkage estimation or reducing the dimensionality of the data, which is the approach considered here.

Many modern genomic data analyses require implementing regressions where the number of parameters (p, e.g., the number of marker effects) exceeds sample size (n).

Multivariate regression is implemented using regression splines (RS).

The second and third points are useful for implementing ordinal regression concerning numerical weather prediction.

These specifications of data impose a number of difficulties in using standard statistical analysis, such as implementing linear regression causes unreliable results [2].

The second analysis stage will involve implementing multivariable regression models informed by our causal graphs.

Haplotype analysis was performed using the WHAP program [ 27] implementing a regression-based association test allowing for evaluation of haplotype-specific association.

To implement the regression model, all the predictive variables were first assessed individually using univariate regression models.

In the experiments the probability mapping was performed by a one-layer neural network that implements linear regression.

Several frameworks adopted SVM to implement the regression functions that support the actual mapping between the feature space and the quality score.

We implemented ridge regression best linear unbiased prediction (RR-BLUP) of the hybrid performances considering additive and dominance effects (Zhao et al. 2014).