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Course, academic year 2024/2025
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Theory of Probability Distributions - NMTP545
Title: Teorie pravděpodobnostních rozdělení
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2022
Semester: winter
E-Credits: 3
Hours per week, examination: winter 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
Guarantor: prof. Lev Klebanov, DrSc.
Class: M Mgr. PMSE
M Mgr. PMSE > Povinně volitelné
Classification: Mathematics > Probability and Statistics
Is interchangeable with: NSTP118
Annotation -
Characteristic functions, inverse and limit theorems. Infinitely divisible laws, stable distributions. Characterization problems.
Last update: T_KPMS (16.05.2013)
Aim of the course -

There are given results and methods of the theory of the probability distributions and their

characteristic functions. There are described significant classes of distributions defined by their characteristic functions.

Last update: T_KPMS (16.05.2013)
Course completion requirements -

Oral exam.

Last update: Zichová Jitka, RNDr., Dr. (18.05.2024)
Literature - Czech

Lukacs E.: Characteristic Functions. Griffin, London, 1970

Štěpán J.: Teorie pravděpodobnosti. Matematické základy. Academia, Praha 1987

Last update: T_KPMS (16.05.2013)
Teaching methods -

Lecture.

Last update: T_KPMS (16.05.2013)
Requirements to the exam -

According to syllabus.

Last update: Zichová Jitka, RNDr., Dr. (18.05.2024)
Syllabus -

Characteristic functions, inverse and limit theorems. Infinitely divisible laws, stable distributions. Characterization problems.

Last update: T_KPMS (16.05.2013)
Entry requirements -

Basic concepts of probability theory - topics from the course NMSA333 Probability theory 1, martingale theory - topics from the course NMSA405 Probability theory 2.

Last update: Zichová Jitka, RNDr., Dr. (16.05.2019)
 
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