Probability Theory 2 - NMSA405
|
|
|
||
Last update: T_KPMS (15.05.2013)
|
|
||
Last update: T_KPMS (15.05.2013)
To explain basics of the martingale theory. |
|
||
Last update: doc. RNDr. Zbyněk Pawlas, Ph.D. (28.10.2019)
Štěpán J.: Teorie pravděpodobnosti. Matematické základy. Academia, Praha, 1987
Kallenberg, O.: Foundations of modern probability. Springer, 1997.
Lachout, P.: Diskrétní martingaly. Karolinum, Praha, 2007. |
|
||
Last update: RNDr. Jiří Dvořák, Ph.D. (28.09.2020)
Lecture+exercises. |
|
||
Last update: T_KPMS (24.04.2015)
1. random sequence, finite-dimensional distributions, Daniell's theorem
2. filtration, stopping times, martingale (submartingale, supermartingale) with discrete time
3. optional stopping and optional sampling theorem, maximal inequalities
4. convergence of submartingales
5. limit theorems for martingale differences |