Course of Probability and Statistical Inference
About the course
This course is part of the master program in Statistical Engineering at National University of Engineering. This course covers core concepts of probability , classical statistical inference and Bayesian statistics. It provides strong foundation for statistical modelling with focus on the likelihood function and Bayesian inference of classical and hierarchical models.
Syllabus
The contents of the course is described here: syllabus.pdf.
Lessons
- Introduction to Julia
- Probability
- Random Variables
- Discrete Random Variables
- Continuous Random Variables
- Elements of Statistical Inference
- Likelihood Inference
- Bayesian Inference
- Sampling Techniques