19216201
Vorlesung
Markov chains and markov models
Marcus Weber
Zusätzl. Angaben / Voraussetzungen
Master students of Mathematics and Physics
Kommentar
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 Termine
Regelmäßige Termine der Lehrveranstaltung
Mi, 16.04.2025 14:00 - 16:00
Markov chains and markov models
Mi, 23.04.2025 14:00 - 16:00
Markov chains and markov models
Mi, 30.04.2025 14:00 - 16:00
Markov chains and markov models
Mi, 07.05.2025 14:00 - 16:00
Markov chains and markov models
Mi, 14.05.2025 14:00 - 16:00
Markov chains and markov models
Mi, 21.05.2025 14:00 - 16:00
Markov chains and markov models
Mi, 28.05.2025 14:00 - 16:00
Markov chains and markov models
Mi, 04.06.2025 14:00 - 16:00
Markov chains and markov models
Mi, 11.06.2025 14:00 - 16:00
Markov chains and markov models
Mi, 18.06.2025 14:00 - 16:00
Markov chains and markov models
Mi, 25.06.2025 14:00 - 16:00
Markov chains and markov models
Mi, 02.07.2025 14:00 - 16:00
Markov chains and markov models
Mi, 09.07.2025 14:00 - 16:00
Markov chains and markov models
Mi, 16.07.2025 14:00 - 16:00
Markov chains and markov models