Theo dõi
Daniela Castro-Camilo
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Advanced spatial modeling with stochastic partial differential equations using R and INLA
E Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ...
Chapman and Hall/CRC, 2018
3482018
Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model
D Castro-Camilo, L Lombardo, PM Mai, J Dou, R Huser
Environmental modelling & software 97, 145-156, 2017
1452017
Landslide size matters: A new data-driven, spatial prototype
L Lombardo, H Tanyas, R Huser, F Guzzetti, D Castro-Camilo
Engineering Geology 293, 106288, 2021
812021
Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment
G Amato, C Eisank, D Castro-Camilo, L Lombardo
Engineering geology 260, 105237, 2019
752019
Local likelihood estimation of complex tail dependence structures in high dimensions, applied to US precipitation extremes
D Castro-Camilo, R Huser
Journal of the American Statistical Association, 2019
53*2019
Time-Varying Extreme Value Dependence with Application to Leading European Stock Markets
D Castro-Camilo, M de Carvalho, J Wadsworth
arXiv preprint arXiv:1709.01198, 2018
522018
Practical strategies for generalized extreme value‐based regression models for extremes
D Castro‐Camilo, R Huser, H Rue
Environmetrics 33 (6), e2742, 2022
392022
A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting
D Castro-Camilo, R Huser, H Rue
Journal of Agricultural, Biological and Environmental Statistics 24 (3), 517-534, 2019
372019
Spectral density regression for bivariate extremes
D Castro-Camilo, M de Carvalho
Stochastic environmental research and risk assessment 31 (7), 1603-1613, 2017
212017
Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica
E Bryce, L Lombardo, C Van Westen, H Tanyas, D Castro-Camilo
Stochastic Environmental Research and Risk Assessment 36 (8), 2071-2084, 2022
192022
Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution
SM Vandeskog, S Martino, D Castro-Camilo, H Rue
Journal of Agricultural, Biological and Environmental Statistics 27 (4), 598-621, 2022
172022
Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures
D Castro-Camilo, L Mhalla, T Opitz
Extremes 24 (1), 105-128, 2021
172021
On the estimation of landslide intensity, hazard and density via data-driven models
M Di Napoli, H Tanyas, D Castro-Camilo, D Calcaterra, A Cevasco, ...
Natural Hazards 119 (3), 1513-1530, 2023
132023
Modelling short-term precipitation extremes with the blended generalised extreme value distribution
SM Vandeskog, S Martino, D Castro-Camilo, H Rue
arXiv, 2021
92021
Discussion of "Using Stacking to Average Bayesian Predictive Distributions" by Yao et. al​
H Bakka, D Castro-Camilo, M Franco-Villoria, A Freni-Sterrantino, ...
9*2018
Modelling block maxima with the blended generalised extreme value distribution
SM Vandeskog, S Martino, D Castro-Camilo
22nd European Young Statisticians Meeting, 6-10, 2021
42021
Spatiotemporal data science: theoretical advances and applications
F Amato, L Lombardo, M Tonini, A Marvuglia, D Castro-Camilo, ...
Stochastic Environmental Research and Risk Assessment 36 (8), 2027-2029, 2022
22022
Bayesian computing with INLA
H Rue, D Castro-Camilo
Pacote R Versão 1, 2018
22018
A Bayesian multivariate extreme value mixture model
C Hu, B Swallow, D Castro-Camilo
arXiv preprint arXiv:2401.15703, 2024
12024
Miriam Cuba, Daniela Castro-Camilo and Marian Scott’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application …
MD Cuba, D Castro Camilo, ME Scott
Journal of the Royal Statistical Society Series C: Applied Statistics, qlaf006, 2025
2025
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