Andreas Eberle
Lecture Courses and Seminars
- Stochastic Processes (WS 24/25)
- Mixing times and Markov Chain Monte Carlo methods (WS 24/25)
- Hauptseminar/Graduate Seminar High dimensional stochastics (WS 24/25)
- Einführung in die Statistik (SS 24)
- Hauptseminar Stochastik: Stochastische Modelle (SS 24)
- Einführung in die Wahrscheinlichkeitstheorie (WS 23/24)
- Mixing times and Markov Chain Monte Carlo methods (WS 23/24)
- Reading class on renormalization and logarithmic Sobolev inequalities (WS 23/24)
- Algorithmische Mathematik 2 (SS 23)
- Graduate Seminar Probability Theory: Mixing times of Markov Processes (SS 23)
- Markov Processes (WS22/23)
- Convergence of Markov Processes and MCMC methods (WS22/23)
- Einführung in die Statistik (SS 22)
- Seminar Stochastische Modelle (Lehramt) (SS 22)
- Stochastik (Lehramt) (WS 21/22)
- Hauptseminar/Graduate Seminar: Mixing times of Markov processes (WS 21/22)
- Markov Processes (WS20/21)
- Hauptseminar Stochastische Prozesse: Statistik in hohen Dimensionen (WS 20/21)
- Graduate Seminar Probability Theory: High-dimensional Statistics (WS 20/21)
- Reversible Markov Processes and MCMC methods (SS 20)
- Graduate Seminar Applied Probability: MC methods and Machine Learning (SS 20)
- Markov Processes (WS19/20)
- Hauptseminar Stochastische Prozesse: Stochastik in hohen Dimensionen (WS 19/20)
- Stochastic Analysis (SS 19)
- Graduate Seminar on Applied Probability: Malliavin Calculus and Monte Carlo methods on function spaces (SS 19)
- Introduction to Stochastic Analysis (WS 18/19)
- Graduate Seminar Stochastic Analysis: Mean-field models (WS 18/19)
- Stochastic Processes (SS 18)
- Hauptseminar Stochastik: Stochastische Modelle (SS 18)
- Seminar Markovketten und stochastische Algorithmen (SS 18)
- Einführung in die Wahrscheinlichkeitstheorie (WS 17/18)
- Graduate Seminar Applied Probability: Markov Processes and Monte Carlo Methods (WS 17/18)
- Algorithmische Mathematik II (SS 17)
- Markov Processes II (SS 17)
- Seminar Markovketten und stochastische Algorithmen (SS 17)
- Markov Processes (WS 16/17)
- Graduate Seminar Applied Probability: Markov Processes and Monte Carlo Methods (WS 16/17)
- Hauptseminar Stoch. Prozesse und Stoch. Analysis: Markovprozesse und MC-Verfahren (WS 16/17)
- Introduction to Stochastic Analysis (WS 15/16)
- Graduate Seminar Applied Probab.: Stochastic filtering and Bayesian inverse problems (WS 15/16)
- Stochastic Analysis (SS 15)
- Graduate Seminar Stochastic Analysis: Interacting Particle Systems (SS 15)
- Hauptseminar Stochastik: Stochastische Modelle (SS 15)
- Markov Processes (WS 14/15)
- Graduate Seminar Applied Probability: Markov Processes and Monte Carlo Methods (WS 14/15)
- Hauptseminar Stoch. Prozesse und Stoch. Analysis: Markovprozesse und MC-Verfahren (WS 14/15)
- Stochastic Processes (SS 14)
- Hauptseminar Stochastik: Stochastische Modelle (SS 14)
- Reading Class: Regularity Structures (SS 14)
- Einführung in die Wahrscheinlichkeitstheorie (WS 13/14)
- Graduate Seminar on Stochastic Analysis (WS 13/14)
- Algorithmische Mathematik II / Stochastik für Lehramt (SS 13)
- Seminar Markovketten und stochastische Algorithmen (SS 13)
- Seminar Mathematische Modellierung (Lehramt) (SS 13)
- Stochastic Analysis (WS 12/13)
- Hauptseminar Stoch. Prozesse und Stoch. Analysis: Grosse Abweichungen (WS 12/13)
- Analysis on Probability Spaces and SPDE (SS 12)
- Graduate Seminar on Stochastic Analysis: Reversible Diffusion Processes (SS 12)
- Stochastic Analysis (WS 11/12)
- Graduate Seminar on Applied Stochastics: Numerics of SDE (WS 11/12)
- Grundzüge der Stochastischen Analysis (WS 10/11)
- Hauptseminar Stochastische Prozesse und Stochastische Analysis (WS 10/11)
- Stochastische Prozesse (SS 10)
- Hauptseminar Angewandte Stochastik: Markovketten (SS 10)
- Einführung in die Wahrscheinlichkeitstheorie (WS 09/10)
- Hauptseminar Numerische stochastische Analysis (WS 09/10)
- Algorithmische Mathematik II (SS 09)
- Seminar Markovketten und stochastische Algorithmen (SS 09)
- Biometrie und Methodik (Statistik) fuer Agrarwiss. und ELT (WS 08/09)
- Monte Carlo methods (WS 08/09)
- Hauptseminar Stochastische Analysis: Grosse Abweichungen (WS 08/09)
- Markov Processes (SS 08)
- Research Seminar Markov chain Monte Carlo methods (SS 08)
- Graduate Seminar Stochastic Analysis (SS 08)
- Seminar Markovketten und stochastische Algorithmen (SS 08)
- Stochastic Analysis (WS 07/08)
- Graduate Seminar Stochastic Dynamics (WS 07/08)
- Stochastische Prozesse (SS 07)
- Seminar Markovketten und zufaellige Medien (SS 07)
- Reading class Random Graph Dynamics (SS 07)
- Wahrscheinlichkeitstheorie I (WS 06/07)
- Seminar Hidden Markov Modelle und Monte Carlo Methoden (WS 06/07)
- AG Stochastik
- Angewandte Stochastik (WS 05/06)
- Seminar Ergodizitaet, Grenzwertsaetze und Mischzeiten (WS 05/06)
- Grosse Abweichungen (WS05/06)
- Stochastische Analysis II (SS 05)
- Seminar Numerik stochastischer Differentialgleichungen (SS 05)
- Stochastische Analysis I (WS04/05)
- Seminar Stochastische Teilchensysteme (WS 04/05)
- Seminar Markovsche Ketten (SS 04)
- Wahrscheinlichkeitstheorie II (SS 04)
- Wahrscheinlichkeitstheorie I (WS 03/04)
- b5 (Applied Analysis) : Integral and Differential Equations (Oxford HT 2002)
- c Brownian motion and stochastic calculus (Oxford HT 2003)