Stochastic processes and applications DSBA 2025/2026 — различия между версиями

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== Samurai diary: Stochastic Process ==
 
== Samurai diary: Stochastic Process ==
  
2025-09-02, lecture 1:
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2025-09-02, lecture 1: Rules of the game, definition of a Markov chain, Chapman-Kolmogorov equations, calculation of n-step transition probabilities, failed attempt to discuss first step analysis. Check 1.1-2.1 from
  
  
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2025-09-06, class 1:  
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2025-09-06, class 1:
  
 
== Sources of Wisdom ==
 
== Sources of Wisdom ==

Версия 17:06, 2 сентября 2025

Course goals

侍には目標がなく道しかない [Samurai niwa mokuhyō ga naku michi shikanai]

A samurai has no goal, only a path.

Course whitepaper

Telegram chat (не берёт на парковке)

Home assignments, exams and grading

Stochastic Processes = 0.35 Halloween Exam + 0.40 Ded Moroz Exam + 0.25 Home Assignments

[... Home assignments :)]

Past exams

Exercise collection

Samurai diary: Stochastic Process

2025-09-02, lecture 1: Rules of the game, definition of a Markov chain, Chapman-Kolmogorov equations, calculation of n-step transition probabilities, failed attempt to discuss first step analysis. Check 1.1-2.1 from


Classes

2025-09-06, class 1:

Sources of Wisdom

StoPro: Problems in Stochastic Processes

In2Pro: Blitstein, Hwang, Introduction to probability.

Mchains Cambridge lectures on Markov chains.

MarkovTex: Representing Markov Chains in Latex.

Takis: Takis Konstantinopulos, One hundred solved exercises on Markov chains.

Convergence modes review from Cornell university

Convergence modes: Saravan Vijayakumaran, convergence modes with examples

ts2010: Aad van der Vaart, Time Series course with hardcore math


Past course iterations: 2024-2025, 2023-2024, 2022-2023, 2021-2022, 2020-2021.