17. Doktorand:innentreffen der Stochastik

from Wednesday, 3 August 2022 (12:00) to Friday, 5 August 2022 (13:00)
Universität Klagenfurt (Z.1.09)

        : Sessions
    /     : Talks
        : Breaks
3 Aug 2022
4 Aug 2022
5 Aug 2022
AM
09:00
Session A3 Stochastics - Carolin Kleemann (Ruhr University Bochum) Patrick van Nerven (Uni Trier) Kathrin Meier (Ruhr-University Bochum) (until 10:30) (HS 3)
09:00 Sharp Constants in Normal an Edgeworth Approximation   (HS 3)
09:30 Central limit theorems for generalized descents and generalized inversions in finite root systems   (HS 3)
10:00 Maximum interpoint distance of high-dimensional random vectors   (HS 3)
09:00
Session B3 Statistics - Nicolai Amann (University of Vienna) Philipp Dettling (Technical University of Munich) Niklas Rosar (until 10:30) (HS 4)
09:00 Regression estimation via best L_2-approximation on spaces of step functions with two jumps   (HS 4)
09:30 Conditional predictive inference for linear sub-models of high-dimensional data   (HS 4)
10:00 Identification in Graphical Continuous Lyapunov Models   (HS 4)
10:30 --- Coffee Break ---
11:00
Presentation R+V RE (until 12:00) (HS 4)
09:00
Session A6 Stochastics - Max Kämper Leonard Pleschberger (Heinrich Heine University Düsseldorf) Jan Niklas Latz (Czech Academy of Sciences & Charles University) (until 10:30) (HS 3)
09:00 Parabolic Fractal Geometry   (HS 3)
09:30 Quantifying the almost sure uniform convergence of eigenvalue-counting functions   (HS 3)
10:00 Applying monoid duality to interacting particle systems   (HS 3)
09:00
Session C1 Applications -Mr Ibrahim Mbouandi Njiasse (Institute of Mathematics, BTU Cottbus-Senftenberg, Germany) Florent Ouabo Kamkumo (Institute of Mathematics, BTU Cottbus-Senftenberg, Germany) Julian Hofstadler (University of Passau) (until 10:30) (HS 4)
09:00 Adaptive MCMC for doubly intractable distributions   (HS 4)
09:30 Stochastic Epidemic Models with Partial Information : Dark Figure and Parameters Estimation   (HS 4)
10:00 Stochastic Epidemic Models with Partial Information: Optimal Control Problems   (HS 4)
10:30 --- Coffee Break ---
11:00
Session A7 Stochastics - Alexander Alban (Gutenberg University Mainz) Mareike Hasenpflug (Unversity of Passau) (until 12:00) (HS 3)
11:00 The maximum of branching Brownian motion   (HS 3)
11:30 Geodesic slice sampling on the sphere   (HS 3)
11:00
Session C2 Applications - Paul Nikolaev Andreas Meier (Johannes Gutenberg University Mainz) (until 12:00) (HS 4)
11:00 Hegelsmann-Krause model with environmental noise   (HS 4)
11:30 Long-range voter model on the real line   (HS 4)
PM
12:00
Registration (until 13:00) (Z.1.09)
13:00
Opening (until 13:30) (HS 4)
13:30
Session A1 Stochastics - Mohamed Elfatih Hady (BTU Cottbus-Senftenberg) Kathrin Spendier (Universität Klagenfurt) Kristof Wiedermann (TU Wien) (until 15:00) (HS 3)
13:30 An SMP-Based Algorithm for Solving the Constrained Utility Maximization Problem via Deep Learning   (HS 3)
14:00 Deep neural network discretization of the Wong-Zakai approximation of stochastic differential equations   (HS 3)
14:30 Stochastic Optimal Control of Occupational Pension Funds Under Dynamic Risk Constraints   (HS 3)
13:30
Session B1 Statistics - David Strieder (Technical University of Munich) Nils Sturma (Technical University of Munich) Lea Riebschläger (University of Trier) (until 15:00) (HS 4)
13:30 Half-Trek Criterion for Identifiability of Latent Variable Models   (HS 4)
14:00 Confidence in Causal Discovery with Linear Causal Models   (HS 4)
14:30 Construction of Admissible Decision Procedures in Statistical Classification   (HS 4)
15:00 --- Coffee Break ---
15:30
Presentation d-fine (until 16:30) (HS 4)
16:30 --- Coffee Break ---
17:00
Session A2 Stochastics - Lorenz Riess (University of Vienna) Stefan Schrott (University of Vienna) (until 18:00) (HS 3)
17:00 Clustering financial institutions based on Wasserstein distance   (HS 3)
17:30 The Wasserstein space of stochastic processes   (HS 3)
17:00
Session B2 Statistics - Felix Benning (Universität Mannheim) Jan Rabe (Universität Hamburg) Maximilian Steffen (until 18:30) (HS 4)
17:00 PAC-Bayes training for neural networks: sparsity and uncertainty quantification   (HS 4)
17:30 Using Statistics to Determine the Learning Rate for Gradient Descent   (HS 4)
18:00 A Central Limit Theorem for Centered Purely Random Forests using U-Statistic Theory   (HS 4)
18:30
Get-Together (until 20:30) (Z.1.09)
12:00 --- Conference Photo ---
12:15 --- Lunch Break ---
13:30
Session A4 Stochastics - Matthias Lienau (Hamburg University of Technology) Nannan Hao (LMU München) Panagiotis Spanos (Graz University of Technology) (until 15:00) (HS 3)
13:30 Random walks on graphs and the Floyd boundary   (HS 3)
14:00 Component sizes of scale-free inhomogeneous random graphs   (HS 3)
14:30 Short paths in scale-free percolation   (HS 3)
13:30
Session B4 Statistics - Pavel Tafo (University Marburg) Lucas Butsch Leopold Mareis (Technical University of Munich) (until 15:00) (HS 4)
13:30 Causal Interventions to Reduce the Risk of Adverse Events in Stent Procedures   (HS 4)
14:00 Extrema of high dimensional data   (HS 4)
14:30 Signal Processing with Gabor Frames: Variational Problems, Compression, and Noise Removal   (HS 4)
15:00 --- Coffee Break ---
15:30
Session A5 Stochastics - Vanessa Trapp Benedikt Rednoß (Ruhr University Bochum) (until 16:30) (HS 3)
15:30 A simplified second-order Gaussian Poincaré inequality with application to random subgraph counting   (HS 3)
16:00 Lower variance bounds for Poisson functionals   (HS 3)
15:30
Session B5 Statistics - Thomas Giacomo Nies (University of Göttingen) Sergio Brenner Miguel (Heidelberg University) (until 16:30) (HS 4)
15:30 Measuring statistical dependency with optimal transport   (HS 4)
16:00 Multiplicative deconvolution under unknown error distribution   (HS 4)
16:30
Hiking Wörthersee + Kreuzbergl (until 19:00) (Z.1.09)
19:00
Conference Dinner (until 21:00) ()
12:00
Closing (until 12:30) (HS 4)