Organizer - Title of the invited session |
Rubén Fernández-Casal - Nonparametric spatial statistics |
Karim Chalak - Identification and inference in semi- and non-parametric econometric models |
Olga Klopp - Advancements in semiparametric and large-scale inference |
Zhou Fan - Nonparametric estimation in high dimensions |
Anderson Ye Zhang - Network analysis and cluster analysis |
Pragya Sur - Modern advances at the interface of statistical learning and inference |
Sophie Langer - Statistics in the AI era: different perspectives |
Valentin Patilea - Adaptive functional data analysis |
Juan Carlos Escanciano - Recent advances in semiparametric and nonparametric econometrics |
Regina Liu - Advanced inference of complex data |
Geurt Jongbloed - Shape constrained statistical inference |
Layla Parast - Nonparametric methods to take advantage of auxiliary data in health settings |
Li Hsu - Causal inference in medical and public health studies |
Daniel Nevo - Causal inference for studying vaccine effects |
Mats Stensrud - Nonparametric causal inference |
Somnath Datta - Current topics in biostatistics - nonparametric approaches |
Maria Dolores Martinez-Miranda - Structured nonparametric models |
Stefan Sperlich - Statistics for a wise use of machine learning |
Surya Tokdar - Bayesian sparse learning in high-dimensional problems |
Ismaël Castillo - Bayesian nonparametrics for high-dimensional and complex models |
Jere Koskela - Nonparametric methods in genetics and neuroscience |
Beatrice Franzolini - Random partitions and Bayesian dependent clustering |
Yongdai Kim - Statistics for AI |
Etienne Roquain - Conformal and simultaneous inference |
Abdelaati Daouia - Extrapolation methods for extreme values |
Juan Carlos Pardo-Fernández - Model specification and goodness-of-fit problems |
Paul Eilers - New approaches to (optimal) P-spline modelling |
Beatriz Pateiro-López - Statistical methods for geometric inference and set estimation |
Alexander Aue - Recent advances in time series and functional data analysis |
Dimitris Politis - Computer-intensive methods for complex data |
Jens-Peter Kreiss & Efstathios Paparoditis - Statistics for dependent data |
Laura M. Sangalli - Regularized nonparametric regression for spatial and functional data |
Omiros Papaspiliopoulos - Large scale semi-parametric inference |
Ricardo Cao - Recent advances in cure models |
Jeffrey Racine - Topics in Econometrics: Big Data, Panel Estimation, and Forecasted Treatment Effects |
Sana Louhichi & Didier A. Girard - Nonparametric smoothing and regression for correlated observations |
Michelle Carey - Advances in functional data analysis |
Thomas Verdebout - Advances in directional statistics |
Patrice Bertail - Statistics for non-stationary processes |
Anna Dudek - Nonstationary processes: theory and applications |
Soumendra Lahiri - Statistics for spatial and network data |
Antonio Lijoi - Theory and methods in Bayesian nonparametrics: recent advances |
Steve Marron - Object Oriented Data Analysis: Trees and Graphs |
George Michailidis - Recent advances in spatiotemporal data |
Ursula Mueller - High-dimensional regression |
Marianna Pensky - Advances in random networks |
Ingrid Van Keilegom - Recent advances in non-and semiparametric models in survival analysis |
Ronghui Xu - Assumption lean, orthogonal learning and other nonparametrics for health data |
Moulinath Banerjee - Network models and optimal prediction |
Hira Koul & Indeewara Perera - Topics in nonparametric and semiparametric econometrics |
Giovanni Motta - Recent advances in multivariate time series analysis |
Genaro Sucarrat - Advances in financial econometrics |
Byeong Park - Nonparametric methods for complex data |
Wen Zhou - Semi- and non-parametric approaches for inference on high dimensional data |
Aurore Delaigle - Analysis of curves |
Ramses Mena - Bayesian nonparametrics for complex data |
Sonali Das - Nonparametric statistics: methods and applications |
Graciela Boente - Recent advances in depth and robust statistics |
Malka Gorfine - Cutting-edge machine learning for complex biomedical data |
Jacobo de Uña-Álvarez - Estimation and testing problems with survival data |