A new type of multivariate t distribution has been developed to better handle different tail weights in data analysis. This distribution allows for varying degrees of freedom for each component, making it more flexible than traditional methods. It can model data with different levels of skewness and includes both normal and t-distributions. The researchers applied this distribution to regression analysis, showing that it can accurately capture the characteristics of complex data sets.