WS19/20 Ausgewählte Kapitel der Statistik und Stochastik (Statistics Seminar)
Prof. Markus Reiß
If you have any questions concerning the seminar, please contact Randolf Altmeyer (altmeyrx@math.hu-berlin.de).
Time and Place
- Friday, 13:15 - 14:45
- Room 3.007 in Johann von Neumann-Haus (Rudower Chaussee 25)
Schedule
| Date | Speaker | Title | |
|---|---|---|---|
| 18.10.19 | Oleksandr Zadorozhnyi |
Stochastic dependent bandits with memory |
|
| 25.10.19 | Jesus Sanz-Serna (SFB-Colloquium, Golm, 10:15 - 11:45) | Numerical integrators for the Hamiltonian Monte Carlo sampler | |
| 01.11.19 | Bernhard Stankewitz | Early Stopping and Non-parametric Regression: An optimal Data-dependent Stopping Rule. | |
| Martin Wahl | The discrepancy principle in kernel learning problems | ||
| 15.01.19 | Lioba Feuring | Bestimmung der P-Wellengeschwindigkeit im Erdinneren - Bayes’scher Ansatz für ein unendlich-dimensionales inverses Problem | |
| Cassandra Uebel | Approximations for limit order book models with large price changes | ||
| 22.11.19 | Ester Mariucci (SFB-Colloquium, Golm, 10:15 - 11:45) | Distances for discretely observed jump processes and applications in nonparametric statistics | |
| 29.11.19 | Felix Assion | Statistical ill-posed inverse problems: the Landweber iteration and the discrepancy principle | |
| Anton Tiepner | Nonparametric first order estimation for parabolic SPDEs | ||
| 13.12.19 | Melina Freitag (SFB-Colloquium, Golm, 10:15 - 11:45) | Low dimensional approximation of weak constraint variational data assimilation | |
| 10.01.20 | Deindra Haag | Early stopping for kernel boosting algorithms | |
| 17.01.20 | Han Cheng Lie | Random approximate forward models and log-likelihoods in Bayesian inverse problems | |
| 24.01.20 | Katharina Morik (SFB-Colloquium, Golm, 10:15 - 11:45) | ||
| 31.01.20 | |||
| 07.02.20 | |||
| 14.02.20 |