Multivariate Analysis in R Multivariate Analysis in R Course Topics Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of ...

This method, which we call multivariate regression with covariance estimation (MRCE), involves penalized likelihood with simultaneous estimation of the regression coefficients and the covariance ...

Multivariate Clustering Analysis in R Course Topics Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration.

Understanding one of the most important types of data analysis.

Group LAD-LASSO for multiple-trait analysis Now we turn to the multivariate regression for mapping multiple correlated traits, defined by ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

We consider the multivariate response regression problem with a regression coefficient matrix of low, unknown rank. In this setting, we analyze a new criterion for selecting the optimal reduced rank.