Joint mean-covariance regression modeling with unconstrained parametrization for continuous longitudinal data has provided statisticians and practitioners with a powerful analytical device. How to ...

In statistics, a mathematical method of modeling the relationships among three or more variables. It is used to predict the value of one variable given the values of the others. For example, a model ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

In this paper, we consider a robust approach to the ultrahigh dimensional variable screening under varying coefficient models. While the existing works focusing on the mean regression function, we ...

Years ago, our firm employed a junior investment analyst who left us for supposedly greener pastures. In his exit interview, he told me he was leaving in part because he was great at picking ...