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Prix pour les présentations de recherche étudiante
2026
  • Analysis of the Spatial Distribution of the Long-Memory Parameter from the WU-Minn Human Connectome Project Young Adult Dataset
    Général: Muskaan Danish Ali, University of Victoria, Oral presentation
  • Conformal Ordinal Prediction under Noisy Labels for Radiographic Knee Osteoarthritis Severity Grading
    Général: Jasper Zhongyuan Zhang, University of Toronto, Oral presentation
  • Copula regression improves the ability to detect modulation of promoter-enhancer dependence
    Présentation d'affiches: Bowei Xiao, McGill University, Poster presentation
  • Decoupling risk and masking in mammographic density under irregular follow-up using a latent Markov progression–detection frame
    Biostatistique: Furkan Berk Danisman, University of Toronto, Oral presentation
  • Depth-based detection of heterogeneous outliers in functional data
    GSIG: Luis Miguel Roldan Alzate, University of Guelph, Oral presentation
  • Modeling Hail Hazard: Distorted Hierarchical Copulas and Insurance Claims in a Spatio‑Temporal Framework
    Science actuarielle: Nahid Sadr, Université de Sherbrooke, Oral presentation
  • On Estimator of Mean Matrix in high-dimensional data
    Probabilité: Arash Aghaei Foroushani, University of Windsor, Oral presentation
  • Relative Efficiency of Generalized Regression and Horvitz–Thompson Estimators in an Assumption-Lean Framework
    Méthodes d’enquête: Mila Pourali, McGill University, Oral presentation
  • Reporting Delays for Time to Event Outcomes in Registry-Based Trials
    Biostatistique: Lily Zou, University of Waterloo, Oral presentation
  • Scalable Gaussian Process Inference via Deep Generative Models: A New Framework for High-Cadence Time Series
    Présentation d'affiches: Rodrigo Barradas Herrera, University of Toronto, Poster presentation
  • Scalable Spatio-temporal Disaggregation with Changing Areal Boundaries
    Présentation d'affiches: Noah Ripstein, University of Toronto, Poster presentation
  • Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
    Général: Sébastien Garneau, McGill University, Oral presentation
  • Spectral Clustering under Distributional Constraints via Optimal Transport with Fairness-Aware Applications
    Science des données et analytique: Jesse S. Ghashti, University of British Columbia – Okanagan, Oral presentation
  • Varying-Coefficient Mixture of Experts Model
    Biostatistique: Qicheng Zhao, McGill University, Oral presentation