Invited Sessions

IS01 - Dynamic Network Modelling

Organized and chaired by Veronica Vinciotti (University of Trento)
Room A101

Modelling and inference of relational events

Ernst-Jan Camiel Wit (Università della Svizzera italiana)

Identifying model misspecification in stochastic-actor oriented models

Viviana Amati (University of Milano-Bicocca)

Beyond Binary Ties: Modeling the Evolution of Relational States

Rūta Juozaitienė (Vytautas Magnus University)

IS02 -- Dependence in multivariate settings

Organized and chaired by Emanuele Taufer (University of Trento)
Room A102

Selection Confidence Sets for Equally Weighted Portfolios

Sandra Paterlini (University of Trento)

Graphical LASSO for Estimating Associations in Elliptically Symmetric Distributions: An EM-Based Approach

Abdaljbbar Dawod (University of Debrecen)

Shrinkage and visualization of multivariate Gram-Charlier approximations

Gyorgy Terdik (University of Debrecen)

IS03 -- Scalable likelihood-based inference for complex statistical models

Organized and chaired by Davide Ferrari (Free University of Bozen-Bolzano)
Room A101

Scalable Inference for Individual-Based Epidemic Models

Lorenzo Rimella (University of Bergamo)

Pairwise Fisher transformation of a conditional correlation matrix

Marco Plazzogna (University of Geneva)

Sparse Unbiased Estimating Equations via Likelihood Score Alignment

Giulia Bertagnolli (Free University of Bozen-Bolzano)

IS04 -- Modern Causal Inference

Organized and chaired by Matey Neykov (Northwestern University)
Room A101

Addressing an extreme positivity violation to distinguish the causal effects of surgery and anesthesia via separable effects

Caleb Miles (Columbia University)

Polynomial-time near-optimal estimation over certain type-2 convex bodies

Matey Neykov (Northwestern University)

Causal invariance in graphical models with latent variables

Marco Borriero (University of Florence)

IS05 -- Visualization meets data science and statistics

Organized and chaired by Eduard Gröller ( TU Wien)
Room A102

MLMC: Visualizing Multi-Label Classification

Torsten Möller (University of Vienna)

Mathematical Optimization for Scalable Scientific Visualization

Steffen Frey (University of Groningen)

On the Role of Interaction in Visual Data Science

Helwig Hauser (University of Bergen)

IS06 -- Advances in latent variable modelling

Organized and chaired by Katrijn Van Deun (Tilburg University)
Room A101

Robust estimation of structural equation models with ordinal data

Andreas Alfons (Erasmus University Rotterdam)

Structural equation modeling with instrumental variables

Yves Rosseel (Ghent University)

Unifying Weights and Loadings in Sparse Component Analysis via Equality and Cardinality Constraints

Hetvi Chaniyara (Eindhoven University of Technology)

IS07 -- AI, Statistics, and Visualization

Organized and chaired by Anand N. Vidyashankar (George Mason University)
Room A102

Interpretable Frequency Band Summary Measures and Analysis For Multiple Nonstationary Biomedical Time Series

Scott Bruce (Texas A&M University)

Robust Diffusion Models via Divergence-Induced Weighted Denoising

Lei Li (LunarAI LLC)

Hellinger-Type Losses for Generative Adversarial Networks

Giovanni Saraceno (University of Padova)

IS08 -- Some Data Science, some Statistics and some Visualisation

Organized and chaired by Sugnet Lubbe (Stellenbosch University)
Room A101

Data Science and generative-AI

Humphrey Brydon (University of the Western Cape)

Outlier Detection in Histogram-valued Data

Paula Brito (University of Porto)

Interpretable Kernels

Patrick Groenen (Erasmus University)

IS09 -- Complex Modelling and Robustness

Organized and chaired by Claudio Agostinelli (University of Trento)
Room A102

Multivariate Wrapped Normal estimation with missing values

Luca Greco (University Giustino Fortunato Benevento)

TBA

Anand N. Vidyashankar (George Mason University)

Copula-based models for spatially dependent cylindrical data

Francesca Labanca (University of Florence)