DescriptionModel selection and its diagnosis are foundational elements in modern statistical and machine learning applications that serve the purpose of obtaining reliable information and reproducible results. In this short course, we introduce the principles and theories on model selection and model averaging and their applications in high-dimensional regression. Model selection methods includ...
AbstractThe course provides a basic introduction to model theory which allows to understand certain model theoretic results in algebra such as Artin’s conjecture on p-adic number fields.PrerequisiteFamiliarity with basic notions in abstract algebra and basic number theory.SyllabusThere are two parts of the course.A. Model constructions: basic introduction to models, structures, and ultraproduc...