MU:MU11184 Applied Statistics II - Course Information
MU11184 Applied Statistics II
Mathematical Institute in OpavaSummer 2016
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Oldřich Stolín, Ph.D. (seminar tutor)
- Guaranteed by
- RNDr. Oldřich Stolín, Ph.D.
Mathematical Institute in Opava - Prerequisites
- MU11160 Applied Statistics
The student is supposed to be acquainted with the material covered in Applied statistics. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Mathematics in Risk Management (programme MU, B1101)
- Mathematical Methods in Economics (programme MU, B1101)
- Course objectives (in Czech)
- a
- Syllabus
- Statistical models.
The geometry of the space of probability distributions.
Singular statistical models.
Variational Bayesian methods.
Hierarchical models
Pseudo-Bayesian methods: Expectation-maximization algorithm. Empirical Bayesian methods.
First encounter with stochastic differential equations.
Kalman filters.
Dynamic filters.
Purposeful control under random influences.
- Statistical models.
- Literature
- recommended literature
- Sumio Watanabe. Algebraic geometry and statistical learning theory. New York, 2009. ISBN 9780521864671. info
- Amari, Shun-ichi and Nagaoka, Hiroshi. Methods of Information Geometry. Oxford University Press, AMS, 2007. info
- Christian P. Robert. The Bayesian choice: From decision-theoretic foundations to computational implementation. New York, 2007. info
- Christian P. Robert and George Casella. Monte Carlo statistical methods. New York, 2004. info
- not specified
- Karl Friston and Klaas Stephan and Baojuan Li and Jean Daunizeau. Generalised Filtering, Mathematical Problems in Engineering, Article ID 621670. 2010. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- Requirements to pass the course:
Satisfactory completion of all assigned exercises with at most two exceptions.
- Enrolment Statistics (Summer 2016, recent)
- Permalink: https://is.slu.cz/course/sumu/summer2016/MU11184