Daniela Castro-Camilo
Daniela Castro-Camilo
Geverifieerd e-mailadres voor glasgow.ac.uk - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Advanced spatial modeling with stochastic partial differential equations using R and INLA
ET Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ...
CRC Press, 2018
972018
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
622017
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
232018
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
162019
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
15*2019
Spectral density regression for bivariate extremes
D Castro-Camilo, M de Carvalho
Stochastic environmental research and risk assessment 31 (7), 1603-1613, 2017
142017
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
62019
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
42021
Discussion of "Using Stacking to Average Bayesian Predictive Distributions" by Yao et. al
H Bakka, D Castro-Camilo, M Franco-Villoria, A Freni-Sterrantino, ...
3*2018
Local likelihood estimation of complex tail dependence structures in high dimensions, applied to US precipitation extremes
DC Camilo, R Huser
Taylor and Francis, 2019
22019
Bayesian computing with INLA
H Rue, D Castro-Camilo
22014
Landslide size matters: a new spatial predictive paradigm
L Lombardo, H Tanyas, R Huser, F Guzzetti, DC Camilo
EarthArXiv, 2021
2021
A three-stage model for short-term extreme wind speed probabilistic forecasting
DC Camilo, R Huser, H Rue
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–13