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Risk assessment for extreme events requires accurate estimation of high quantiles that go beyond the range of historical observations.
Limiting forms of the frequency distribution of the largest or smallest member of a sample
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Ereignisanalyse Hochwasser 2005, Teil 1 — Prozesse, Schäden und erste Einordnung [Event analysis of the 2005 flood, Part 1 — Processes, damage and initial classification]
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Spatial risk assessment for extreme river flows
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Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., and Monfardini, G · 2009
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Athey, S., Tibshirani, J., and Wager, S · 2019
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An integrated functional Weissman estimator for conditional extreme quantiles
Gardes, L. and Stupfler, G · 2019
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Extreme Quantile Estimation for Autoregressive Models
Li, D. and Wang, H. J · 2019
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Conformalized Quantile Regression
Romano, Y., Patterson, E., and Candes, E · 2019
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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Duchi, J., Hazan, E., and Singer, Y · 2011
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Neural networks for probabilistic environmental prediction: Conditional Density Estimation Network Creation and Evaluation (CaDENCE) in R
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Tieleman, T. and Hinton, G · 2012
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Estimation of High Conditional Quantiles for Heavy-Tailed Distributions
Wang, H. J., Li, D., and He, X · 2012
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Adam: A Method for Stochastic Optimization
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Improving precipitation forecasts using extreme quantile regression
Velthoen, J., Cai, J.-J., Jongbloed, G., and Schmeits, M · 2019
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Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts
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An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting
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Graphical models for extremes (with discussion)
Engelke, S. and Hitz, A · 2020
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Extremhochwasser an der Aare. Hauptbericht Projekt EXAR. Methodik und Resultate. [Extreme flooding of the Aare. Main Report on the EXAR Project. Methodology and results.] , volume 104 of
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A Horse Race between the Block Maxima Method and the Peak–over–Threshold Approach
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Increasing probability of record-shattering climate extremes
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A Comprehensive Survey on Graph Neural Networks
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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
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Gradient boosting with extreme-value theory for wildfire prediction
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Gradient boosting for extreme quantile regression
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