- Do you have the brains for statistical analysis?
- Do you like playing with numbers?
- Do you want to know how to use statistics to model practical problems in science and engineering?
- Do you want to get some familiarity with Bayesian statistical analysis?
- Are you seeking an online course regarding Bayesian Statistical Analysis?

If you are looking for an answer to these questions then this is most certainly the right place for a person like you. The package here contains a course that has been designed carefully for the understanding of an average person. Not everyone has the stomach for advanced mathematical calculations and that is where this course comes in. The course is designed to make users easily understand Bayesian Statistical Analysis.

What is this course and what are the benefits of taking it?

Originally taught in winter 2011, this course is open to all, though students in mathematics, statistics or computer science will get the most out of it. Through the materials and lecture notes offered as part of this statistics online course, you can develop familiarity with Bayesian statistical analysis, including topics like:

- Hierarchical Bayesian models
- Generalized linear models
- Model evaluation

Though this is an undergraduate course, it assumes some basic familiarity with statistics already, so you should have a solid grasp on mathematics and probability before reading the materials.

Table of Contents:

- Univariate and multivariate models
- Choice of prior distributions
- Hierarchical models
- Computation including Markov chain Monte Carlo
- Model checking
- Model selection

Author Bio

Babak Shahbaba who is an Assistant Professor in the department of Statistics at the University of California, Irvine will be the tutor for this course. The professor’s vast teaching experience and proficiency in Bayesian Statistical Analysis will certainly make this course very interesting for users.