Working Group Seminar - Mathematical Statistics - Prof. Dr. Markus Reiß

Summer 2024

Schedule

TB
Date Speaker Title
19.04.2024 Organisational Meeting / Anton Tiepner Change interface estimation for a stochastic heat equation
26.04.2024
03.05.2024 Markus Reiß Statistics for SPDEs
10.05.2024 Adam Perbost / Laura Hucker, Eric Ziebell, Ratmir Miftachov, Bernhard Stankewitz Infinite-Dimensional Diffusion Models / Advances in early stopping for iterative estimation procedures
17.05.2024 Gabriele Steidl Kernel Methods in Generative Modeling (SFB-Colloquium, 10:15h-11:45h)
Thursday 23.05.2024 Laura Hucker / Andrea Fratini Introduction to implicit and explicit regularisation for gradient descent /Solving and Estimating Ambiguity-Adjusted Endogenous Markov Switching DSGE Models
31.05.2024 Thomas Stark Implicit vs. Explicit Regularization for High-Dimensional Prediction
07.06.2024 Sven Wang Social choice, voting and statistics: An introduction and outlook
14.06.2024 Sergei Fedotov Anomalous Transport of Heterogeneous Population (10:15h-11:45h)
21.06.2024 Fabian Telschow / Gregor Pasemann The Expected Number of Upcrossings over a Differentiable Function of a General Class of non-Gaussian Processes / Discretization of the Spectral Approach to Diffusivity Estimation
28.06.2024
05.07.2024 Room 1.114 11-13 Sascha Gaudlitz, Adam Perbost, Markus Reiß Laplacian score based generative diffusion models
12.07.2024 Eric Ziebell Law equivalence of stochastic linear Systems
19.07.2024 Edriss Titi Is dispersion a stabilizing or destabilizing mechanism? Landau-damping induced by fast background ows? (SFB-Colloquium, 10:15h-11:45h)

Winter 2023/24

Schedule

Date Speaker Title
20.10.2023 Organisational Meeting
27.10.2023 Sven Wang On polynomial-time mixing for high-dimensional MCMC in inverse problems (SFB-Colloquium, 10:15h-11:15h)
03.11.2023 Ratmir Miftachov Early Stopping for Random Planted Forest
10.11.2023 Gregor Pasemann Diffusivity Estimation for a Stochastic Heat Equation from Noisy Observations: Nonparametric Theory and Semigroup Approximation
17.11.2023 Anton Tiepner From the (damped) wave equation to general second-order Cauchy Problems: Estimating speed and damping coefficients from local measurements
24.11.2023 Markus Bibinger Jump detection and inference on the spot volatility from high-frequency order prices
01.12.2023 Bernhard Stankewitz Contraction rates for a Lanczos-approximate posterior in Gaussian process regression
08.12.2023 Sven Wang Likelihood computations, MCMC and gradient-based algorithms in low-frequency SDE models
15.12.2023 Thorsten Wagner Uncertainty Quantification and Attribution in Models of the Earth System (SFB-Colloquium, 10:15h-11:30h)
22.12.2023 Eric Ziebell From noise transformations to matrix inequalities
29.12.2023 Academic holidays
05.01.2024 Academic holidays
12.01.2024 Igor Cialenco Statistical analysis of SPDEs – exploring singularities (SFB-Colloquium, 10:15h-11:30h)
19.01.2024 Shanshan Meng / Hanke Guo Error analysis of diffusion models with density function in Besov space / Locating events in air quality sensor data using a Ornstein-Uhlenbeck based model
26.01.2024 Laura Hucker, Ratmir Miftachov, Bernhard Stankewitz, Eric Ziebell Implementation of early stopping for iterative estimation procedures
02.02.2024 Rosario Tomasello From Neurons to Symbolic Representation and Rapid Learning in Mind and Brain: A Brain-Constrained Neural Model (SFB-Colloquium, 10:15h-11:30h)
09.02.2024 Sascha Gaudlitz Bayesian inference for the reaction term in semi-linear SPDEs with spatial ergodicity
16.02.2024 Janine Steck Testing the rank of the spot covariance matrix of a multi-dimensional semi-martingale with drift

Sommer 2023

Schedule

Date Speaker Title
21.04.2023 Antje Weisheimer Seasonal forecasting - opportunities and challenges (SFB-Colloquium, 10:15h-11:30h)
28.04.2023 Organisational Meeting / Pavel Kříž Hurst index estimation for SPDEs
05.05.2023 No Seminar
12.05.2023 Janine Steck / Jannis Dause Fourier-type density estimation in a tomography problem / Asymptotic equivalence of nonparametric regression under random design
19.05.2023 Jannis Dause / Alexandre Mayer Asymptotic equivalence of nonparametric regression under random design / The Gelfand representation and functional calculus for normal operators
26.05.2023 Vitalii Konarovskyi Conservative SPDEs as fluctuating mean field limits of stochastic gradient descent (SFB-Colloquium, 10:15h-11:30h)
02.06.2023 Eric Ziebell Non-parametric estimation for the stochastic wave equation from local measurements
09.06.2023 Sascha Gaudlitz Finite time non-parametric inference on the reaction term in semi-linear SPDEs
16.06.2023 Pavel Kříž / Gregor Pasemann Hurst index estimation for the stochastic heat equation
23.06.2023 SFB Z03 SFB Colloquium with MaRDI (SFB-Colloquium, 10:15h-11:30h)
30.06.2023 No Seminar
07.07.2023 Maximilian Graf Permutation Estimation for Crowdsourcing
14.07.2023 Karen Veroy-Grepl Model Order Reduction in Data Assimilation (SFB-Colloquium, 10:15h-11:30h)
21.07.2023 Laura Hucker Optimal adaptation of early stopping for conjugate gradients

Winter 2022/23

Schedule

Date Speaker Title
21.10.2022 Geoff D. Reeves Using 'Data-Intelligence' to Understand the Physics of the Inner Magnetosphere (SFB-Colloquium, 10:15h-11:15h)
28.10.2022 Organisational Meeting / Jannis Dause On asymptotic equivalence for nonparametric regression with non-uniform random design
04.11.2022 (11:15 in RUD 25 3.007) Pavel Kříž Pathwise least-squares estimator for linear SPDEs with additive fractional noise
11.11.2022 Ulrich Parlitz Challenges of data driven modelling in cardiac dynamics (SFB-Colloquium, 10:00h-12:00h)
18.11.2022 Petr Zamolodtchikov Local convergence rates of the nonparametric least squares estimator with applications to transfer learning
25.11.2022 Gregor Pasemann Parameter Estimation from Noisy Observations of a Stochastic Heat Equation
02.12.2022 Eric Ziebell Statistics for the stochastic wave equation - From spectral to local observations
09.12.2022 Claudia Schillings One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty (SFB-Colloquium, 10:15h-11:15h)
16.12.2022 Sascha Gaudlitz Finite-time non-parametric inference on the reaction term in 1-d semi-linear SPDEs
23.12.2022 Akademische Ferien
30.12.2022 Akademische Ferien
06.01.2023
13.01.2023 13:00-14:00 Lasse Vuursteen The cost of privacy and bandwidth constraints in nonparametric distributed hypothesis testing
20.01.2023 Tim Jahn Discretisation-adaptive regularisation of statistical inverse problems
27.01.2023 Sascha Gaudlitz A second order SPDE for term structure modelling
03.02.2023
10.02.2023 Claire Vernade Understanding and Applying Reinforcement Learning (SFB-Colloquium, 10:15h-11:30h)
17.02.2023 Laura Hucker Early stopping for conjugate gradients in statistical inverse problems

Summer 2022

Schedule

Date Speaker Title
21.04.2022 (Thursday) 14:00h Organisational Meeting
22.04.2022 Jonas Latz Stochastic gradient descent in continuous time: discrete and continuous data (SFB-Colloquium, 10:00h-12:00h)
29.04.2022 Susanne Ditlevsen Time scales in early warnings: a probabilistic approach (SFB-Colloquium, 10:15h-11:15h)
06.05.2022 Sophie Langer On the advancements of deep learning theory
13.05.2022 Bernhard Stankewitz Fast noise estimation in high dimensional linear models
20.05.2022 tba tba (SFB-Colloquium, 10:15h-11:15h)
27.05.2022 Sascha Gaudlitz Asymptotic analysis of neural networks
03.06.2022
10.06.2022 Markus Reiß / Martin Wahl On Gaussian minimax lower bounds with applications to noisy SPDE observations / On the prediction error of PCR
17.06.2022 Marie-Therese Wolfram Collective dynamics in the social and data science (SFB-Colloquium, 10:15h-11:30h)
24.06.2022 Gregor Pasemann Diffusivity Estimation from Noisy Observations of a Stochastic Heat Equation
01.07.2022 No seminar
08.07.2022 Jörn Dunkel Symmetry-informed model inference for active matter (SFB-Colloquium, 10:15h-11:15h)
15.07.2022 Anton Tiepner Nonparametric velocity estimation in stochastic convection-diffusion equations from multiple local measurements
22.07.2022 Yuliia Dronova, Martin Wahl Inference on the maximal rank of time-varying covariance matrices using high-frequency data / An RKHS approach to minimax lower bounds for SPDEs