IS1 - Robustness for Matrix-valued Data

Organized and chaired by Peter Filzmoser (TU Wien)

Mia Hubert (KU Leuven)
Robust Tensor-on-tensor Regression
Marcus Mayrhofer (TU Wien)
High-Dimensional Separability Testing in Matrix Data Beyond Normality
Agustin Mayo-Iscar (University of Valladolid)
A Trimming and Constraints Based Robust Clustering Proposal for Matrix-variate Data

IS2 - IASC Invited Session: Robust Methods for Functional Data Analysis

Organized and chaired by Aylin Alın (Dokuz Eylül University)

Ufuk Beyaztas (Marmara University)
Robust Estimation for Functional Joint Models with Longitudinal and Survival Outcomes
Müge Mutiş (Yıldız Technical University)
A Novel Robust Approach to Spatially Structured Scalar-on-function Quantile Regression
Zdeněk Hlávka (Charles University in Prague)
Multivariate Two-sample Tests for Functional Data with Outliers
Filip Bočinec (Charles University in Prague)
Projection Depth for Functional Data

IS3 - Uncertainty and Learning Dynamics for Causal and Personalized Decisions with Modern AI/ML

Organized and chaired by Liangyuan Hu (Rutgers School of Public Health)

Sijian Wang (Rutgers University)
Bayesian Conformal Inference for Causal Individual Treatment Effects
Xiao Fang (Chinese University of Hong Kong)
Martingale Central Limit Theorem in Wasserstein Distance with Applications
Ömer Lütfi Gebizlioğlu (Kadir Has University)
Bayesian Credibility Estimation Using Concomitants of Order Statistics in the Framework of Generalized Linear Mixed Models

IS4 - Robustness in Complex Models

Organized and chaired by Graciela Boente (University of Buenos Aires) and Ana Maria Bianco (University of Buenos Aires) 

Fabio Centofanti (KU Leuven)
Cellwise and Casewise Robust Multivariate Regression with Inference
Gabriela Cohen Freue (University of British Columbia)
Fast and Scalable Cellwise-Robust Ensembles for High-Dimensional Data
Stefan van Aelst (KU Leuven)
Robust Inference for Nonparametric Regression via Bootstrap
Conceição Amado (Instituto Superior Técnico, Universidade de Lisboa, CEMAT) and Ana Maria Bianco (University of Buenos Aires)
On Robust Estimation for Heteroscedastic Nonlinear Regression Models

IS5 - Geometric and Bayesian Perspectives in Robustness

Organized and chaired by Alberto González-Sanz (Columbia University)

Zoraida Fernández-Rico (Bocconi University)
Robust, Sub-Gaussian Mean Estimators in Metric Spaces
Cynthia Rush (Columbia University)
Frequentist Theory for M-posteriors: Asymptotic and Robustness Properties
Shunan Sheng (Columbia University)
Stability and Instability of Mean-field Variational Inference

IS6 - Advances in Robustness for Complex Data

Organized and chaired by Luis Angel García Escudero (University of Valladolid) and Agustin Mayo Iscar (University of Valladolid)

Christian Hennig (University of Bologna)
What are Outliers?
Valentin Todorov (United Nations Industrial Development Organization)
Automatic Choice of k and c in Model Based Clustering: The R Package tclust
Aldo Corbellini (University of Parma)
Robust Regression and the Monitoring Approach
Luis Ángel García-Escudero (University of Valladolid)
Robust Trimmed Clustering for Outlier Detection in Complex Settings

IS7 - Robust Regression for Complex Data

Organized and chaired by Olcay Arslan (Ankara University) and Fatma Zehra Doğru (Giresun University)

Olcay Arslan (Ankara University)
Exploring Expectile Regression Through Likelihood and EM Algorithm Perspectives
Fatma Zehra Doğru (Giresun University)
A Flexible Heteroscedastic Semiparametric Model for Skewed and Heavy-Tailed Data
Yeşim Güney (Ankara University)
Robust Joint Location–Scale Modeling via M-Quantile Estimation
Elgiz Askeroğlu (Giresun University)
Robust Particle Swarm Optimization for Regression via M-estimation

IS8 - Robust Inference in Combined Regression and Autoregression Models

Organized and chaired by Jana Jureckova (Charles University, Emeritus), Olcay Arslan (Ankara University), and Yeşim Güney (Ankara University)

Jana Jureckova (Charles University, Emeritus)
The Advantage of Autoregression Rank Scores Invariance in the Inference
Hira L. Koul (Michigan State University)
A Signed-rank Estimator in Nonlinear Regression Models When Covariates and Errors are Dependent
Jan Picek (Technical University of Liberec)
Adaptive Rank Scores Guided by L-moments for Robust Inference in Regression and Autoregression Models
Yetkin Tuaç (Ankara University)
M-Quantile Regression with Autoregressive Errors

IS9 - Robust Principal Components

Organized and chaired by Gabriela Cohen Freue (University of British Columbia) and David Tyler (Rutgers University)

  Una Radojicic (Technical University of Vienna)
Spatial PCA – New M-estimator of the Leading Principal Component
  Shoja’eddin Chenouri (University of Waterloo)
Robust Principal Components Analysis via Subspace Discrepancy Minimization
  Yetkin Tuaç (Ankara University)
Adaptive Lasso-regularized Spectral Generalized Kotz-type Robust Matrix Regression

IS10 - Symbolic Data Analysis Meets Robust Statistics: Models, Methods, and Applications

Organized and chaired by M. Rosário Oliveira (CEMAT and Instituto Superior Técnico, Universidade de Lisboa, Portugal)

  Eufrásio A. Lima Neto (Universidade Federal de Paraíba, Brazil)
Robust Distributional Regression Models for Interval-valued Data
  Pedro Duarte Silva (Católica Porto Business School)
Robust Principal Component Analysis of  Symbolic Matrix-valued Data
  Renata M. C. R. Souza (Universidade Federal de Pernambuco, Brazil)
Multivariate Fuzzy Partitioning Methods Using Medoids
  M. Rosário Oliveira Silva (CEMAT and Instituto Superior Técnico, Universidade de Lisboa, Portugal)
Clustering Interval-valued Data using L1-Wasserstein Distance

IS11 - Recent Developments in Robustness

Organized and chaired by Mia Hubert (KU Leuven) and Stefan Van Aelst (KU Leuven)

Peter Filzmoser (TU Wien)
Multivariate Functional Mahalanobis Distance with Application to Clustering
Yangzhuoran Yang (Maastricht University)
Outlier Detection and Robust Estimation of Time Series Model using a Penalised Approach
Giorgia Zaccaria (University of Milano-Bicocca)
Cellwise Outlier Detection in Clustering: from Model-based to Fuzzy Approaches

IS12 - Robustness, Privacy and Statistical Learning

Organized and chaired by Marco Avella-Medina (Columbia University)

Badr-Eddine Cherief Abdellatif (Sorbonne Université)
Robust Estimation via Maximum Mean Discrepancy
Getoar Sopa (Columbia University)
Efficient Differentially Private Regression Inference for Longitudinal Data
Sophie Langer (Ruhr Universität Bochum)
A Statistical Approach to Image Classification via Deformable Templates

IS13 - Analysis of Complex Data

Organized and chaired by Domenico Perrotta (University of Milan)

Andrea Cerioli (University of Parma)
Robustness, Clustering and Outlier Detection under Heavy Tails
Arthur Daisomont (KU Leuven & Joint Research Centre)
Blockwise, Cellwise, and Casewise Robust Multiblock PCA
Can Hakan Dağıdır (KU Leuven)
Cellwise Robust Discriminant Analysis

IS14 - Robust Solutions in Machine Learning Applications

Organized and chaired by Fulya Gokalp Yavuz (Purdue University, The Data Mine)

Burcu Koca Güler (Middle East Technical University)
CGL-LIME: A Robustified LIME with Copula-Based Sampling and Gradient-Weighted Kernels
David Iseri Inouye (Purdue University)
Provable Robustness to Spurious Correlations via Invariant Data for Robust Finetuning
Serenay Çakar (Middle East Technical University)
From Robust Mixed Models to Temporal Deep Learning: A Four-Paradigm Robustness Benchmark on Contaminated fNIRS Data
Şenay Özdemir (Afyon Kocatepe University)
Robustness of Exponential Family and M-estimation based Empirical Likelihood in Linear Regression

IS15 - Advances in Robust Methodology

(in association with the ASA Nonparametric Statistics Section)
Organized and chaired by F. Sevinc Kurnaz (Yıldız Technical University & Case Western Reserve University)

Matthias Templ (FHNW University of Applied Sciences and Arts, Northwestern Switzerland)
Cellwise-robust Imputation for Mixed Continuous and Categorical Data
Houyem Demni (University of Cassino and Southern Lazio)
Robust Estimation of Circular Dispersion: Theory and an Application to Outlier Detection
Onur Toka (Hacettepe University)
A Systematic Comparison of Clustering Methods Under Casewise, Cellwise, and Mixed Data Contamination

IS16 - Robust Estimation, Testing and Prediction

Organized and chaired by Yanyuan Ma (Penn State University)

Tanya Garcia (UNC Gillings School of Global Public Health)
Doubly Robust Semiparametric Prediction Intervals
Renjun Ma (University of New Brunswick)
Tweedie Compound Poisson Mixed Models for Cross-classified Data with Left Censoring
Ying Wei (Columbia University)
Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance
Liping Zhu (Renmin University)
Rank Correlations in High Dimensions

IS17 - Stability in Inference from Different Prospective

Organized and chaired by Claudio Agostinelli (University of Trento) and Anand Vidyashankar (George Mason University)

Giulia Bertagnolli (Free University of Bozen-Bolzano)
Robust Inference for Mixtures of Multivariate Wrapped Normal Distributions: The Weighted Likelihood Approach
Kamelia DAUDEL (ESSEC Business School)
Importance Weighted Variational Inference without the Reparameterization Trick
Badr-Eddine Chérief-Abdellatif (Sorbonne University)
Bayesianism and Robustness: Predictively Oriented (Pr0) Posteriors