Tssp-2023-24 — различия между версиями

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(Semester I: Stochastic Processes)
(Semester I: Stochastic Processes)
 
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Practice. Conditional expected value and variance, [https://github.com/bdemeshev/tssp_2023-24/raw/main/practice/practice-05.pdf pdf]
 
Practice. Conditional expected value and variance, [https://github.com/bdemeshev/tssp_2023-24/raw/main/practice/practice-05.pdf pdf]
  
Lecture.  
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Lecture. Sigma-algebras, [https://github.com/bdemeshev/tssp_2023-24/blob/main/lectures/TSSP_23_m1_l6_v2.pdf pdf]
  
 
'''Week 6. 2023-09-16'''
 
'''Week 6. 2023-09-16'''

Текущая версия на 18:41, 13 октября 2023

General course info

Lecturer: Peter Lukianchenko

Practice and problem solving: Boris Demeshev, Friday 16:20-17:40 Moscow time, zoom

Class teacher: Sveta Popova, Maria Kirillova

Log Book

Semester I: Stochastic Processes

Practice playlist

home assignments

Week 0. 2023-09-02

Lecture. Markov chains, transition matrix, pdf

Week 1. 2023-09-04

Class. Transition matrix, first step analysis, pdf by Maria

Practice. MGF and first step analysis, pdf

Lecture. Markov chains, classification of states, pdf

More:

Cambridge course on Markov chains

Week 2. 2023-09-11

Practice. More generating functions and first step analysis, pdf

Lecture. Convergence. pdf

Week 3. 2023-09-16

Lecture + practice. Poisson process, pdf, notes in progress

Class. Stationary distribution, convergence, pdf by Maria

More:

Inspection paradox, Waiting time paradox, Friendship paradox

Week 4. 2023-09-16

Practice. Convergence, pdf

Lecture. Conditional expected value, pdf

Week 5. 2023-09-16

Practice. Conditional expected value and variance, pdf

Lecture. Sigma-algebras, pdf

Week 6. 2023-09-16

Practice. Sigma-algebras, pdf

Lecture.

Sources of Wisdom


MC + MCMC

Stochastic Calculus

  • Zastawniak, Basic Stochastic Processes

Time Series

UCM