Asymptotic theory for multidimensional statistics KU Leuven
We study testing model assumptions in high-dimensional regression models without the sparsity assumption that only a few coefficients are important. Combining estimators, predictions or heterogeneous datasets is another topic of focus of which we will study the theoretical properties to arrive at better estimation methods. Several aspects of the domain of functional data will be investigated, such as the use of non and semiparametric ...