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Course, academic year 2016/2017
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Heavy tailed distributions - NSTP062
Title: Rozdělení s těžkými chvosty
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2014 to 2017
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: prof. Lev Klebanov, DrSc.
Class: DS, pravděpodobnost a matematická statistika
Classification: Mathematics > Probability and Statistics
Interchangeability : NMTP570
Is incompatible with: NMTP570
Is interchangeable with: NMTP570
Annotation -
Last update: T_KPMS (09.05.2012)
The course is devoted to studying the theory of heavy tailed distributions and to dealing with stochastic models based on such distributions. Data with heavy tails have been collected in such fields as economics, telecommunications, physics and biology. The theory of heavy tailed distributions is also connected with the theory of branching processes.
Aim of the course -
Last update: T_KPMS (09.05.2012)

The aim of the lecture is to give an introduction to the theory of stochastic models with heavy tailed distributions.

Literature - Czech
Last update: T_KPMS (09.05.2012)

Klebanov, L.B.: Heavy tailed distributions. Matfyzpress, Praha, 2003.

Teaching methods -
Last update: T_KPMS (09.05.2012)

Lecture.

Syllabus -
Last update: T_KPMS (09.05.2012)

1. Main examples of heavy tailed distributions.

2. Stable distributions.

3. Multivariate stable distributions.

4. Infinite divisible and stable distributions.

5. Il-posed problems.

 
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