Programme

Friday, October 2nd, 2026

17.00–19.00 Registration at Seegasthof Breineder, Mönichwald

 

Saturday, October 3rd, 2026

8:50–9:00 Welcome and Opening
Peter Filzmoser, TU Wien, Austria

Session 1 — Chair: Peter Filzmoser

9.00–9.30 Robust and explainable outlier detection for random surfaces
Leopold Micheler, TU Wien, Austria

9:30–10:00 A randomized convex optimization method for highly constrained statistical learning
Balázs Miavecz, Hungarian Research Network and Eötvös Loránd University, Hungary

10:00–10:30 Locating the best-subset model within the multiverse: a quantile-based diagnostic for the robustness of automatic variable selection
Anna Sordo, University of Padua, Italy

10.30–11.00 Coffee Break

Session 2 — Chair: Ksenija Dumičić

11.00–11.30 One reference rate, many pass-throughs: An ARDL analysis of monetary policy transmission in the Euro area
Maksimilijan Balatinec, University of Zagreb, Croatia

11.30–12.00 A new methodology for the meta-analysis of discrete choice experiments
Matteo Bracco, University of Turin, Italy

12.00–13.30 Lunch

Session 3 — Chair: Luka Kronegger

13.30–14.00 Monte Carlo evaluation of methods for estimating regression coefficients involving latent variables
Katja Škoda, University of Ljubljana, Slovenia

14.00–14.30 Efficient Bayesian inference for polytomous item response models
Stefan Haan, University of Klagenfurt, Austria

14.30–15.00 Model misfit and parameter estimate bias in structural equation modelling
Jošt Bartol, University of Ljubljana, Slovenia

15.00–15.30 Coffee Break

Session 4 — Chair: Paola Berchialla

15.30–16.00 Predicting Formula 1 overtaking outcomes: Development and comparison of Machine Learning models for decision support
Balázs Tobak, Eötvös Loránd University, Hungary

16.00–16.30 A two-phase Bayesian model for longitudinal risk estimation of anterior knee pain in semi-professional basketball players
Marco Vitturini, University of Turin, Italy

19.00 Reception at Seegasthof Breineder, Mönichwald

 

Sunday, October 4th, 2026

Session 5 — Chair: Nenad Šuvak

9.00–9.30 Long-term risk prediction from short-term data – a microsimulation approach
Moritz Pamminger, Medical University of Vienna, Austria

9.30–10.00 Multifractal analysis of EEG signals for predicting neurodevelopmental outcomes after pediatric cerebral malaria
Aleksandra Petrović, J. J. Strossmayer University of Osijek, Croatia

10.00–10.30 Lead time estimation in cancer screening programmes: extending the MOCCI method
Ema Požek, University of Ljubljana, Slovenia

10.30–11.00 Coffee Break

Session 6 — Chair: David Simon

11.00–11.30 Reading the economy through the News: AI-assisted narrative and sentiment analysis of media text
Luka Šikić, Croatian Catholic University, Croatia

11.30–12.00 AI and physics-based weather forecasting: A comparison across raw and post-processed operational ensembles
Mátyás Kocsis, University of Debrecen, Hungary

12.00 Closing