Linear regression is a fundamental statistical method used to model and understand the relationship between different variables. At its heart, it aims to find the best-fitting straight line that ...

In this paper we study the problem of testing the functional form of a given regression model. A consistent test is proposed which is based on the difference of the least squares variance estimator in ...

We review recent results for high-dimensional sparse linear regression in the practical case of unknown variance. Different sparsity settings are covered, including coordinate-sparsity, group-sparsity ...

Description: Use of existing computer programs and subroutines to solve statistical problems. Areas of application include analysis of variance, linear and nonlinear regression analysis, nonparametric ...

Description: This course will explore fundamental concepts of statistical methods and their application in biological research. The following topics will be included: experimental and sampling designs ...