19216201
Lecture
Markov chains and markov models
Marcus Weber
Additional information / Pre-requisites
Master students of Mathematics and Physics
Comments
Markov chains are a universal tool to model real-world processes, including financial markets, reaction kinetics and molecular dynamics.
Topics:
- Introduction to the theory of Markov chains
- Estimation of Markov chains from data
- Estimation uncertainty
- Transition path theory
- Analysis of Markov chains
- Spectral analysis
- Discretization of continuous Markov processes
14 Class schedule
Regular appointments
Wed, 2025-04-16 14:00 - 16:00
Markov chains and markov models
Wed, 2025-04-23 14:00 - 16:00
Markov chains and markov models
Wed, 2025-04-30 14:00 - 16:00
Markov chains and markov models
Wed, 2025-05-07 14:00 - 16:00
Markov chains and markov models
Wed, 2025-05-14 14:00 - 16:00
Markov chains and markov models
Wed, 2025-05-21 14:00 - 16:00
Markov chains and markov models
Wed, 2025-05-28 14:00 - 16:00
Markov chains and markov models
Wed, 2025-06-04 14:00 - 16:00
Markov chains and markov models
Wed, 2025-06-11 14:00 - 16:00
Markov chains and markov models
Wed, 2025-06-18 14:00 - 16:00
Markov chains and markov models
Wed, 2025-06-25 14:00 - 16:00
Markov chains and markov models
Wed, 2025-07-02 14:00 - 16:00
Markov chains and markov models
Wed, 2025-07-09 14:00 - 16:00
Markov chains and markov models
Wed, 2025-07-16 14:00 - 16:00
Markov chains and markov models