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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Agenda Overview |
| Date: Thursday, 19/Mar/2026 | ||||
| 8:50am - 9:50am |
Plenary Lecture 3 Location: 0.004 Statistical and computational challenges in unsupervised learning: focus on ranking |
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| 9:50am - 10:20am |
Coffee break 3 |
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| 10:20am - 12:20pm |
Statistics in natural sciences and technology Location: 0.001 Chair: Gaby Schneider Chair: Ansgar Steland Time-varying degree-corrected stochastic block models Learning population and individual structure in dynamic networks with degree heterogeneity How to build your latent Markov model — the role of time and space A Simple and Robust Multi-Fidelity Data Fusion Method for Effective Modelling of Citizen-Science Air Pollution Data |
High-dimensional estimation and concentration phenomena Location: 0.002 Chair: Marie Düker Copula tensor count autoregressions High-Dimensional Inference for Network Stochastic Differential Equations Testing approximate sphericity for high-dimensional covariance matrices Principal Components Analysis for Irregular Data |
Theory of Machine Learning: Insights from Women Researchers Location: 0.004 Chair: Mahsa Taheri Effects of Depth in Deep Learning: Independence vs Recurrence Theoretical guarantees for diffusion models — beyond log-concavity Random Quadratic Form on a Sphere: Synchronization by Common Noise Minimax rate of distribution regression |
Mathematical Statistics Location: 1.012 Chair: Mathias Trabs Alternative argmin method in the non-unique case and application for gradual regression changes Flow Matching as a forecasting model Maximum likelihood estimation of the location of a symmetric convex body Permutation testing under local differential privacy |
| 12:20pm - 1:30pm |
Lunch break 2 |
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| 1:30pm - 3:30pm |
Statistics in natural sciences and technology Location: 0.001 Chair: Gaby Schneider Chair: Ansgar Steland MEWMA control charts for the covariance matrix -- on the validity of a certain approximation to achieve a feasible ARL integral equation EWMA control charts for the correlation coefficient Integrated Modelling of Age-and Sex-Structured Wildlife Population Dynamics: The Example of Hartebeest The second order generalization of Hájek-Le Cam asymptotic minimax theorem |
Statistics for Stochastic Processes Location: 0.002 Chair: Fabian Mies A nonparametric statistic for rank changes of volatility functions of Ito semimartingales Nonparametric density estimation for the small jumps of Lévy processes Fractional interacting particle system: drift parameter estimation via Malliavin calculus Adaptive denoising diffusion modelling via random time reversal |
Multivariate Statistics and Copulas Location: 0.004 Chair: Eckhard Liebscher Tests for independence between random vectors Restrictions of PCBNs for integration-free computations A nonparametric copula-based imputation method An ordering for the strength of functional dependence |
Topics in functional data analysis Location: 1.012 Chair: Siegfried Hörmann Tests of symmetry for functional data Making Event Study Plots Honest: A Functional Data Approach to Causal Inference Kernel Expansions in Sobolev Spaces and Applications to Stochastic Processes Uncertainty of Functional Data Reconstruction |
| 3:30pm - 4:00pm |
Coffee break 4 |
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| 4:00pm - 6:00pm |
Computational Statistics Location: 0.001 Chair: Ostap Okhrin Tensor changepoint detection and eigenbootstrap Functional-based claims reserving with ProfileLadder Proxy-identification of a structural MGARCH model for asset returns Estimating ``Realized'' Skewness using Convolutional Neural Network |
Statistics for Stochastic Processes Location: 0.002 Chair: Fabian Mies Sharp adaptive nonparametric testing for a constant volatility Geometric ergodicity of Langevin dynamics and its discretizations Topology Matters for High-Frequency Inference: Weak Convergence of Stochastic Integrals in M1 |
Nonparametric statistics Location: 0.004 Chair: Anne Leucht Nonparametric spectral density estimation using interactive mechanisms under local differential privacy Detecting Periodicity of a General Stationary Time Series via AR(2)-Model Fitting Conditionally specified graphical modeling of stationary multivariate time series |
Topics in functional data analysis Location: 1.012 Chair: Siegfried Hörmann Measuring dependence between a categorical response and a functional covariate Rate-optimal estimation for synchronously sampled functional data Beyond the positive drift: Comparing historical and current daily temperature patterns based on two sample statistics for unbalanced dense-sparse functional data |
| 7:30pm - 10:00pm |
Dinner |
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