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14.06.2021 16:45
 

Dynamic Default Contagion in interbank systems

MOVED TO WINTER SEMESTER 2021 DUE TO COVID19 RESTRICTIONS @UNIVIE

21.06.2021 16:45
 

Backtesting Systemic Risk Forecasts using Multi-Objective Elicitability

28.06.2021 16:45
 

Public presentation of PhD projects (FoeP)

18.10.2021 16:45
 

The joint limit distribution of partial maxima and partial sums of a heavy-tailed time series

25.10.2021 16:45
 

Shape, Homology, Persistence, and Stability

08.11.2021 16:45
 

Consistency of p-norm based tests in high dimensions: characterization, monotonicity, domination

10.11.2021 16:45
 

New results about Correlation Matrices

22.11.2021 16:45
 

Mean-field LIBOR market models and valuation of long term guarantees

 

MOVED TO SUMMER SEMESTER 2022 DUE TO COVID19 RESTRICTIONS @UNIVIE

29.11.2021 16:45
 

Overparametrization and the bias-variance dilemma

 

MOVED TO SUMMER SEMESTER 2022 DUE TO COVID19 RESTRICTIONS @UNIVIE

13.12.2021 16:45
 

Learning laws of Stochastic Processes

 

MOVED TO SUMMER SEMESTER 2022 DUE TO COVID19 RESTRICTIONS @UNIVIE

10.01.2022 16:45
 

Posterior predictive model checking using formal methods in a spatio-temporal model

17.01.2022 16:45
 

Talk by Michael Vogt - title tba

 

MOVED TO SUMMER SEMESTER 2022 DUE TO COVID19 RESTRICTIONS @UNIVIE

24.01.2022 16:45
 

Talk by Axel Munk - title tba

 

MOVED TO SUMMER SEMESTER 2022 DUE TO COVID19 RESTRICTIONS @UNIVIE

31.01.2022 16:45
 

Public presentation of PhD projects (FoeP)

No presentations scheduled

14.03.2022 16:45
 

Recent advances in large sample correlation matrices and their applications

04.04.2022 16:45
 

Overparametrization and the bias-variance dilemma

25.04.2022 16:45
 

Mean-field LIBOR market models and valuation of long term guarantees

02.05.2022 16:45
 

High-dimensional nonparametric functional graphical models via the additive partial correlation operator

09.05.2022 16:45
 

The Completion of Covariance Kernels

16.05.2022 16:45
 

Estimating the lasso's effective noise

25.05.2022 15:00
 

Statistical inference for intrinsic wavelet estimators of covariance matrices in a log-Euclidean manifold

30.05.2022 16:45
 

Learning the regularity of curves in functional data analysis and applications

13.06.2022 16:45
 

Optimal stopping with signatures

20.06.2022 16:45
 

Learning laws of Stochastic Processes

03.10.2022 16:45
 

Optimal Transport-based Data Analysis: Inference, Algorithms, Applications

10.10.2022 16:45
 

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility

17.10.2022 16:45
 

On the weak convergence of the Nearest neighbor process

24.10.2022 16:45
 

Multivariate Sparse Clustering for Extremes

14.11.2022 16:45
 

MCMC-based Bayesian neural networks: Algorithmic and theoretical challenges

21.11.2022 16:45
 

Semiparamteric estimation of McKean-Vlasov SDEs