MA8701 Advanced statistical methods in inference and learning - Spring 2025

Formal NTNU course description: https://www.ntnu.edu/studies/courses/MA8701#tab=omEmnet

This is a PhD course in statistics which in the current semester is given as a guided self-study without regular lectures. A study program for each week of the semester will be given, consisting of a reading list and corresponding exercises. During the semester will be given one or more compulsory projects. There will be regular digital meetings for guiding and discussions. Students may also contact the instructor by email.

Course coordinator/instructor and contact

• Professor emeritus Bo Lindqvist
• Email: bo [dot] lindqvist [at] ntnu [dot] no

Evaluation

The grade for this course is pass/fail evaluated with an individual oral exam. Admission to the exam is conditional on approved compulsory assignments.

Recommended previous knowledge

• TMA4267 Linear statistical models
• TMA4295 Statistical inference
• TMA4300 Computer intensive statistical methods
• TMA4315 Generalized linear models
• TMA4268 Statistical learning

Programming/IT-knowledge

• Good understanding and experience with R, or with Python.