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...
AbstractThis lecture will review the theory and application of typical biomathematic models such as logistic model, infectious disease model, predator model, etc.Speaker Intro杨武岳,毕业于清华大学,理学博士。从事生物数学、机器学习理论及其应用等研究