[HTML][HTML] Deep graphical regression for jointly moderate and extreme Australian wildfires
Recent wildfires in Australia have led to considerable economic loss and property
destruction, and there is increasing concern that climate change may exacerbate their …
destruction, and there is increasing concern that climate change may exacerbate their …
[HTML][HTML] Insights into the drivers and spatiotemporal trends of extreme mediterranean wildfires with statistical deep learning
Extreme wildfires continue to be a significant cause of human death and biodiversity
destruction within countries that encompass the Mediterranean Basin. Recent worrying …
destruction within countries that encompass the Mediterranean Basin. Recent worrying …
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Abstract Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge, we
propose a method based on statistics and machine learning for the spatial prediction of …
propose a method based on statistics and machine learning for the spatial prediction of …
Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
To accurately quantify landslide hazard in a region of Turkey, we develop new marked point-
process models within a Bayesian hierarchical framework for the joint prediction of landslide …
process models within a Bayesian hierarchical framework for the joint prediction of landslide …
Regression modelling of spatiotemporal extreme US wildfires via partially-interpretable neural networks
J Richards, R Huser - arXiv preprint arXiv:2208.07581, 2022 - arxiv.org
Risk management in many environmental settings requires an understanding of the
mechanisms that drive extreme events. Useful metrics for quantifying such risk are extreme …
mechanisms that drive extreme events. Useful metrics for quantifying such risk are extreme …
Bayesian modeling of insurance claims for hail damage
O Miralles, AC Davison - The Annals of Applied Statistics, 2024 - projecteuclid.org
Bayesian modeling of insurance claims for hail damage Page 1 The Annals of Applied Statistics
2024, Vol. 18, No. 4, 3091–3108 https://doi.org/10.1214/24-AOAS1925 © Institute of …
2024, Vol. 18, No. 4, 3091–3108 https://doi.org/10.1214/24-AOAS1925 © Institute of …
Extreme analysis of typhoons disaster in mainland China with insurance management
K Hu, R Wang, J Xu, C Constantinescu, Y Chen… - International Journal of …, 2024 - Elsevier
Due to climate change, typhoons, especially extreme typhoons, are becoming more intense
and causing ascending financial losses. A majority of previous studies on typhoon economic …
and causing ascending financial losses. A majority of previous studies on typhoon economic …
Spatio-temporal joint modelling on moderate and extreme air pollution in Spain
K Wang, C Ling, Y Chen, Z Zhang - Environmental and Ecological …, 2023 - Springer
Very unhealthy air quality is consistently connected with numerous diseases. Appropriate
extreme analysis and accurate predictions are in rising demand for exploring potential …
extreme analysis and accurate predictions are in rising demand for exploring potential …
Gradient boosting with extreme-value theory for wildfire prediction
J Koh - Extremes, 2023 - Springer
This paper details the approach of the team Kohrrelation in the 2021 Extreme Value
Analysis data challenge, dealing with the prediction of wildfire counts and sizes over the …
Analysis data challenge, dealing with the prediction of wildfire counts and sizes over the …
Future expansion, seasonal lengthening and intensification of fire activity under climate change in southeastern France
Background An increase in fire weather is expected in a warming climate, but its translation
to fire activity (fire numbers and sizes) remains largely unknown. Additionally, disentangling …
to fire activity (fire numbers and sizes) remains largely unknown. Additionally, disentangling …