Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Randolf Altmeyer

Humboldt-Universität zu Berlin | Mathematisch-Naturwissenschaftliche Fakultät | Institut für Mathematik | Randolf Altmeyer | WS19/20 Ausgewählte Kapitel der Statistik und Stochastik (Statistics Seminar)

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