Birs- 22w5079: Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes

  1. Title:
    Overview on Causal Inference

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  2. Title:
    Past and future changes in the probability of extreme temperature events

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  3. Title:
    Consistent estimation of extreme precipitation and flooding across multiple durations

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  4. Title:
    Assessing time dependencies for heavy rainfall modeling

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  5. Title:
    Frequency analysis of projected discharges on ungauged river sections using a large set of hydrological simulations

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  6. Title:
    The effect of experiment conditioning on estimates of human influence on extreme weather

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  7. Title:
    Estimating failure probabilities for high-dimensional extremes

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  8. Title:
    Max-linear Bayesian networks

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  9. Title:
    Detecting max-linear structural equation models in extremes

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  10. Title:
    Numerical study of constraint-based time series causal discovery algorithms on synthetic data with heavy-tailed noise distributions

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  11. Title:
    Transformed Linear Prediction for Extremes

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  12. Title:
    Capturing varied extremal dependence structures via mixtures of conditional extremes models

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  13. Title:
    Modeling Trends in Spatial Extremes and their Causal Determination

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  14. Title:
    Identifying US wildfire drivers using partially-interpretable neural networks for high-dimensional extreme quantile regression

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  15. Title:
    Estimation and Inference of Extremal Quantile Treatment Effects

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  16. Title:
    Principal stratification for quantile causal effects under partial compliance

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