In what way can we reduce misclassification bias in statistical learning so that we obtain more accurate classifier-based statistics? There are two conflicting developments that affect the field of ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

Modern statistical methodologies are increasingly focused on addressing the challenges associated with high-dimensional data through advanced techniques for variable selection and model estimation.

This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...

Successful completion of 50% of the homework sets as well as a written exam at the end of the course (format, date and time t.b.a.) ...

Statistics is all about getting data and analysing it and using it to answer questions about the world be that in terms of Economics, Finance or public opinions. The applications are numerous The LSE ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...