Dr Daniela Castro Camilo

  • Lecturer in Statistics (Statistics)

Research interests

Research Interests

My research focuses on the theory and applications of multivariate and spatial extremes, with a particular interest in environmental, geological, and ecological applications.

Research Groups


Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017
Number of items: 8.

2019

Amato, G., Eisank, C., Castro-Camilo, D. and Lombardo, L. (2019) Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment. Engineering Geology, 260, 105237. (doi:10.1016/j.enggeo.2019.105237)

Castro-Camilo, D. , Huser, R. and Rue, H. (2019) A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting. Journal of Agricultural, Biological and Environmental Statistics, 24(3), pp. 517-534. (doi:10.1007/s13253-019-00369-z)

Castro-Camilo, D. and Huser, R. (2019) Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes. Journal of the American Statistical Association, (doi:10.1080/01621459.2019.1647842) (Early Online Publication)

2018

Krainski, E. T., Gómez-Rubio, V., Bakka, H., Lenzi, A., Castro-Camilo, D. , Simpson, D., Lindgren, F. and Rue, H. (2018) Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R and INLA. Chapman & Hall/CRC: Boca Raton. ISBN 9781138369856 (doi:10.1201/9780429031892)

Bakka, H. C., Castro-Camilo, D. , Franco-Villoria, M., Freni-Sterrantino, A., Huser, T. and Rue, H. (2018) Contributed discussion of "Using Stacking to Average Bayesian Predictive Distributions" by Yao et. al​. Bayesian Analysis, 13(3), pp. 982-985. (doi:10.1214/17-BA1091)

Castro-Camilo, D. , de Carvalho, M. and Wadsworth, J. (2018) Time-varying extreme value dependence with application to leading European stock markets. Annals of Applied Statistics, 12(1), pp. 283-309. (doi:10.1214/17-AOAS1089)

2017

Castro-Camilo, D. , Lombardo, L., Mai, P. M., Dou, J. and Huser, R. (2017) Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model. Environmental Modelling and Software, 97, pp. 145-156. (doi:10.1016/j.envsoft.2017.08.003)

Castro-Camilo, D. and de Carvalho, M. (2017) Spectral density regression for bivariate extremes. Stochastic Environmental Research and Risk Assessment, 31(7), pp. 1603-1613. (doi:10.1007/s00477-016-1257-z)

This list was generated on Wed Nov 13 11:54:13 2019 GMT.
Jump to: Articles | Books
Number of items: 8.

Articles

Amato, G., Eisank, C., Castro-Camilo, D. and Lombardo, L. (2019) Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment. Engineering Geology, 260, 105237. (doi:10.1016/j.enggeo.2019.105237)

Castro-Camilo, D. , Huser, R. and Rue, H. (2019) A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting. Journal of Agricultural, Biological and Environmental Statistics, 24(3), pp. 517-534. (doi:10.1007/s13253-019-00369-z)

Castro-Camilo, D. and Huser, R. (2019) Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes. Journal of the American Statistical Association, (doi:10.1080/01621459.2019.1647842) (Early Online Publication)

Bakka, H. C., Castro-Camilo, D. , Franco-Villoria, M., Freni-Sterrantino, A., Huser, T. and Rue, H. (2018) Contributed discussion of "Using Stacking to Average Bayesian Predictive Distributions" by Yao et. al​. Bayesian Analysis, 13(3), pp. 982-985. (doi:10.1214/17-BA1091)

Castro-Camilo, D. , de Carvalho, M. and Wadsworth, J. (2018) Time-varying extreme value dependence with application to leading European stock markets. Annals of Applied Statistics, 12(1), pp. 283-309. (doi:10.1214/17-AOAS1089)

Castro-Camilo, D. , Lombardo, L., Mai, P. M., Dou, J. and Huser, R. (2017) Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model. Environmental Modelling and Software, 97, pp. 145-156. (doi:10.1016/j.envsoft.2017.08.003)

Castro-Camilo, D. and de Carvalho, M. (2017) Spectral density regression for bivariate extremes. Stochastic Environmental Research and Risk Assessment, 31(7), pp. 1603-1613. (doi:10.1007/s00477-016-1257-z)

Books

Krainski, E. T., Gómez-Rubio, V., Bakka, H., Lenzi, A., Castro-Camilo, D. , Simpson, D., Lindgren, F. and Rue, H. (2018) Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R and INLA. Chapman & Hall/CRC: Boca Raton. ISBN 9781138369856 (doi:10.1201/9780429031892)

This list was generated on Wed Nov 13 11:54:13 2019 GMT.