Sentence examples for multivariate regression problem from inspiring English sources
The problem can be stated as a multivariate regression problem.
This paper presents the novel hierarchical deep neural network (HDNN) for the general multivariate regression problem.
Given the observed gene expression data and sequence features for every protein, we model this imputation problem as a multivariate regression problem: Y = XB+ ∈.
Utilizing RSM and ANN modeling process, linear and nonlinear multivariate regression problems are solved.
The problem is formulated as a multivariate linear regression problem and accounts for multiple effects such as data aging.
As we simultaneously included comorbidities, social characteristics, CCI and propensity score in the multivariate regression model, a potential numerical problem concerned multicollinearity between covariates, which might render estimated regression coefficients invalid.
Helander et al. [20] proposed transforms based on partial least squares (PLS) in order to prevent the over-fitting problem of standard multivariate regression.
The objective of this study was therefore to examine the association between multiple demographic and disease characteristics with sleep problems using a multivariate regression approach.
We consider data-based multivariate regression methods as alternative solution to the problem.
This problem was solved using multivariate regression techniques such as partial least squares (PLS).
Helander et al. [21] proposed transforms based on partial least squares (PLS) in order to prevent the over-fitting problem associated with standard multivariate regression.
