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world:markovchains

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A course on Markov Chains: Advanced topics

Registration to the course

Program of the course

  • Where? Institut de Mathématiques d'ORSAY. Room: 1A14.
  • When? Every course will hold on Thursday from 9H to 12H00 (exact dates are given below).
  • Who? The list of the teachers are given below with their acronyms:
    • AD: Alain Durmus.
    • RD: Randal Douc.
  • What? The chapters refer to the book: Markov chains by R. Douc, E. Moulines, P. Priouret and P. Soulier. Springer publishers.
Prof Chapters Topics Material
24/09 (AD) Chapt. 1 and 2. Conditional distribution, their construction and related operations. Introduction to Markov chains, first definitions
01/10 (AD) Chapt. 2 and 3 Invariant measures / reversibility, Canonical space.
08/10 (AD) Chap 3 Canonical space (continued). Kolmogorov extension theorem. Strong Markov property.
15/10 (AD) Chapt. 3 Stopping times, return and hitting times, consequences of Markov property.
22/10 No course
05/11 (AD) Chap 5 Dynamical systems, Birkhoff theorem, Law of Large Number for Markov chains
12/11 (RD) Chapt. 18 Uniform and Geometric ergodicity
19/11 (RD) Chapt. 21 Central limit theorems
26/11 (RD) Chap 22 Spectral theory
11/12 (RD) Chap 22 Spectral theory
27/11 (RD) Chapt. 21 Central limit theorems
11/12 (RD) Chap 22 Spectral theory
11/12 (RD) Chap 22 Spectral theory

Example of an examination

Projects

Contact

name email adresses
Alain Durmus alain.durmus “Arobase” polytechnique.edu
Randal Douc randal.douc “Arobase” polytechnique.edu

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world/markovchains.1790172716.txt.gz · Last modified: 2026/09/23 16:11 by alain