Nonparametric Bayesian flood frequency estimation

By D. O’Connell. 2005

53 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/ef29eda923466edde44b04ef3f2914954ca709c5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. James Merleau
2. Luc Perreault
3. Zhongmin Liang
4. Guillaume Évin
5. Binquan Li
6. Wenjuan Chang

In Water Science and Technology

1. James Merleau
2. Luc Perreault
3. Guillaume Évin

Citations in the corpus

• Two‐component mixtures of normal, gamma, and Gumbel distributions for hydrological applications (2011, methodology): “…literature, statistical remedies are to acknowledge the complexity of probabilistic modeling by choosing a nonparametric approach [Adamowski, 1985; O’Connell, 2005] or to use more elaborate parameterized distributions such as the logPearson Type 3 [Bobée, 1975; Interagency Committee on Water…”
• Bayesian flood frequency analysis in the light of model and parameter uncertainties (2012, background): “Even though a mass of advances have achieved in flood frequency analysis techniques (e.g. Stedinger 1983; Chowdhury and Stedinger 1991; Ashkar and Ouarda 1998; O’Connell 2005; Seidou et al. 2006; Laio et al. 2009), uncertainties in inferring Z.”