Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
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Location: ZEU 160 Zeuner Bau |
| Date: Tuesday, 11/Mar/2025 | |
| 2:00 pm - 3:40 pm |
S 4 (1): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Information criteria for the number of directions of extremes in high-dimensional data 2:25 pm - 2:50 pm Principal component analysis for max-stable distributions 2:50 pm - 3:15 pm An Alternative Approach to Power Law Dynamics in Preferential Attachment Models 3:15 pm - 3:40 pm Gaussian Approximation and Moderate Deviations of Poisson Shot Noises with Application to Compound Generalized Hawkes Processes |
| 4:20 pm - 6:00 pm |
S 4 (2): is dropped Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting |
| Date: Wednesday, 12/Mar/2025 | |
| 10:30 am - 12:10 pm |
S 4 (3): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Extreme values of permutation statistics and triangular arrays 10:55 am - 11:20 am Spatio-temporal statistical modeling of the occurrence of extreme events 11:20 am - 11:45 am Convergence of Extremal Processes in Spaces of Growing Dimension 11:45 am - 12:10 pm Bayesian Inference for Functional Extreme Events Defined via Partially Unobserved Processes |
| 1:40 pm - 3:20 pm |
S 4 (4): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Phase transitions for linear spectral statistics of sample correlation matrices in high dimension 2:05 pm - 2:30 pm A sharper Lyapunov-Katz central limit error bound for i.i.d. summands Zolotarev-close to normal 2:30 pm - 2:55 pm The free additive convolution of semicircular and uniform distribution 2:55 pm - 3:20 pm Central limit theorem for convex expectations |
| 3:50 pm - 5:30 pm |
S 4 (5): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Poissonian pair correlations for dependent 4:15 pm - 4:40 pm Small-scale asymptotic structure of ordered uniform k-spacings 4:40 pm - 5:05 pm An approximation for the quantiles of the maxima 5:05 pm - 5:30 pm Decay of correlations for the massless hierarchical Liouville model in infinite volume |
| Date: Thursday, 13/Mar/2025 | |
| 10:30 am - 12:10 pm |
S 4 (6): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Extremal Process of Last Progeny Modified Branching Random Walks 10:55 am - 11:20 am Central limit theorem for a random walk on Galton-Watson trees with random conductances 11:20 am - 11:45 am Sums of i.i.d. random variables with exponential weights 11:45 am - 12:10 pm Law of Large Numbers and Central Limit Theorem for Ewens-Pitman Model |
| 1:40 pm - 3:20 pm |
S 4 (7): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Limit Theorems for Open Quantum Dynamics In A Random Environment 2:05 pm - 2:30 pm On fluctuations of complexity measures for the QuickSelect algorithm 2:30 pm - 2:55 pm Randomized Geodesic Flow on Hyperbolic Groups 2:55 pm - 3:20 pm Limit Theorems for Multiscale Ergodic Diffusion Processes |
| 3:50 pm - 4:40 pm |
S 4 (8): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Percolation and geometry of Cayley graphs 4:15 pm - 4:40 pm Stein's Method for Networks |
| Date: Friday, 14/Mar/2025 | |
| 10:30 am - 12:10 pm |
S 4 (9): Limit theorems, large deviations and extremes Location: ZEU 160 Floor plan Chair: Jan Nagel Chair: Marco Oesting Asymptotic theory of Schatten classes 10:55 am - 11:20 am Limit theorems for the volume of random projections and sections of $\ell_p^N$-balls 11:20 am - 11:45 am Concentration inequalities for Poisson $U$-statistics 11:45 am - 12:10 pm Large deviation principle for binomial Gibbs processes |
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