Bayesian Statistics, 6 credits
Start of studies
No occasions planned
Form of education
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Period
Admission to the course requires 5 completed credits in Mathematical Statistics. English 6.
This course aims to provide students with theoretical and practical knowledge in Bayesian statistics (or Bayesian inference). This branch of statistics forms the foundation for combining collected data with other sources of information to draw comprehensive conclusions for different signal-processing applications. The course lays a strong foundation for further exploration of advanced topics such as artificial intelligence, machine learning, and time-dependent systems analysis.
Admission to the course requires 5 completed credits in Mathematical Statistics. English 6.
Level
A1N
Course code
MS2506