Bayesian Data-Driven approach enhances synthetic flood loss models

Nivedita Sairam, Kai Schröter, Francesca Carisi, Dennis Wagenaar, Alessio Domeneghetti, Daniel A. Molinari, Fabio Brill, Sally Priest, Christophe Viavattene, Bruno Merz, Heidi Kreibich. Bayesian Data-Driven approach enhances synthetic flood loss models. Environmental Modelling and Software, 132:104798, 2020. [doi]

@article{SairamSCWDMBPVM20,
  title = {Bayesian Data-Driven approach enhances synthetic flood loss models},
  author = {Nivedita Sairam and Kai Schröter and Francesca Carisi and Dennis Wagenaar and Alessio Domeneghetti and Daniel A. Molinari and Fabio Brill and Sally Priest and Christophe Viavattene and Bruno Merz and Heidi Kreibich},
  year = {2020},
  doi = {10.1016/j.envsoft.2020.104798},
  url = {https://doi.org/10.1016/j.envsoft.2020.104798},
  researchr = {https://researchr.org/publication/SairamSCWDMBPVM20},
  cites = {0},
  citedby = {0},
  journal = {Environmental Modelling and Software},
  volume = {132},
  pages = {104798},
}