Probability Theory II
General data
Course ID: | 1000-135RP2 |
Erasmus code / ISCED: |
11.193
|
Course title: | Probability Theory II |
Name in Polish: | Rachunek prawdopodobieństwa II |
Organizational unit: | Faculty of Mathematics, Informatics, and Mechanics |
Course groups: |
Elective courses for 1st degree studies in mathematics Obligatory courses for 3rd grade JSEM |
ECTS credit allocation (and other scores): |
6.00
|
Language: | Polish |
Type of course: | elective courses |
Prerequisites (description): | (in Polish) Oczekuje się dobrej znajomości zagadnień ujętych w sylabusach przedmiotów Analiza matematyczna II.1 oraz Rachunek Prawdopodobieństwa I. |
Short description: |
The course contains an introduction to the convergence theory for probability distributions (equivalence of various definitions, Central Limit Theorem) and to applications of harmonical analysis in the theory (properties of characteristic functions). Moreover, some elements of martingale theory and Markov chains will be discussed. |
Full description: |
Convergence of probability distributions. The characteristic function of a probability distribution, applications to computing moments and distributions of sums of independent random variables. The uniqueness theorem. Levy's theorem stating that the convergence of probability distributions can be described in terms of the pointwise convergence of their characteristic functions. The Central Limit Theorem. Introduction to the theory of martingales ("fair games"). Stopping moments. Doob's "optional sampling" theorem. Markov chains, ergodicity. |
Bibliography: |
1. A. N. Shiryaev, ,,Probability'', 2nd Edition, Spriger Verlag, 1989. 2. P. Billingsley, ,,Probability and Measure'', 3rd Edition, John Wiley & Sons, Inc., 1995. 3. Kai Lai Chung, ,,A Course in Probability Theory'', Revised 2nd Edition, Academic Press, 2001. |
Learning outcomes: |
A student 1. understands the concept of convergence in law and its various characterizations (for example: in terms of pointwise convergence of density functions, atoms, distribution functions). A student knows the definition of tightness and Prokhorov's theorem.; 2. understands the concept of characteristic function of a probability distribution. He/She knows how to deduce various properties of a probability distribution from its characteristic function. He/She knows how the convergence in law relates to pointwise convergence of characteristic functions. 3. knows Central Limit Theorem in a general form (with the Lindeberg condition). He/She can give examples of its usefulness in applications. 4. understands the concept of conditional expectation and its properties; he/she can apply this concept to solve the problem of prediction; 5. knows the concepts of filtration and stopping time; 6. knows the concept of discrete time martingale, supermartingale and submartingale and basic inequalities related to these processes. He/she Knows conditions for almost sure convergence of such processes. He/she can characterize the convergence of martingales in L_p; 7. knows the concept of a Markov chain and related objects (state space, transition matrix, initial distribution, stationary distribution, etc.). He/she can classify the states (periodic, recurring, momentary). He/she knows the ergodic theorem and its applications. |
Assessment methods and assessment criteria: |
(in Polish) Ocena na podstawie pracy studenta w ciągu semestru i wyniku egzaminu |
Classes in period "Winter semester 2023/24" (past)
Time span: | 2023-10-01 - 2024-01-28 |
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MO TU CW
W WYK
CW
CW
TH CW
FR |
Type of class: |
Classes, 30 hours
Lecture, 30 hours
|
|
Coordinators: | Radosław Adamczak | |
Group instructors: | Radosław Adamczak, Michał Kotowski, Rafał Martynek, Marta Strzelecka, Anna Talarczyk-Noble | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Examination
Lecture - Examination |
Classes in period "Winter semester 2024/25" (future)
Time span: | 2024-10-01 - 2025-01-26 |
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MO TU W TH FR |
Type of class: |
Classes, 30 hours
Lecture, 30 hours
|
|
Coordinators: | Anna Talarczyk-Noble | |
Group instructors: | Rafał Meller, Adam Osękowski, Anna Talarczyk-Noble | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Examination
Lecture - Examination |
Copyright by University of Warsaw.