Birs- 23w5094: Astrostatistics in Canada and Beyond

  1. Title:
    Resurgence of the Cross-Disciplinary Field of Astrostatistics

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  2. Title:
    Big Datasets in Astronomy

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  3. Title:
    Statistical Learning Methods for Big Data

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  4. Title:
    Astrostatistics with "Small" Data

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  5. Title:
    Panel — Funding and Other Opportunities in Interdisciplinary Science

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  6. Title:
    Classification with Noisy Label: Bias Analysis and Correction

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  7. Title:
    Towards Solving the Fast Radio Burst Enigma with CHIME/FRB: Probability of Event Chance Coincidence for Nonhomogeneous Noisy Spatial Point Processes.

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  8. Title:
    Classifying Fast Radio Bursts

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  9. Title:
    The Gravitational Wave Progenitor Uncertainty Challenge

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  10. Title:
    Folding Machine Learning into Standard Model-Fitting Algorithms

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  11. Title:
    Learning Reionization History from Quasars with Simulation-Based Inference

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  12. Title:
    Statistical Foundations for Explainability and Interpretability of Deep Learning in Astronomy

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  13. Title:
    CHASC Program of Multi-Dimensional X-ray Analysis

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  14. Title:
    Using StratLearn to Improve Supervised Learning under Covariate Shift in Cosmology

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  15. Title:
    Machine Learning Reconstruction of Epoch of Reionization Bubbles

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  16. Title:
    Power of Bayesian Methods in Stellar Evolution

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  17. Title:
    Statistical Methods for Solar Flare Forecasting

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  18. Title:
    Open Statistical Challenges in Gravitational Wave Data Analysis

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  19. Title:
    Flashes of Light from the Sky to the Brain

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  20. Title:
    GausSN: Bayesian Time Delay Estimation for Strongly Lensed Supernovae

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