Copula models for frequency analysis what can be learned from a Bayesian perspective?

Advances in Water Resources

Volumn 63, Issue , 2014, Pages 91-103

  Parent, Eric ^a   Favre, Anne Catherine ^b   Bernier, Jacques ^a,c   Perreault, Luc ^c  

^a AgroParisTech   (France)

^b UNIV GRENOBLE ALPES   (France)

^c HYDRO QUÉBEC   (Canada)

Author keywords

Bayesian inference; Copula; Frequency analysis; Model selection; Romaine River

Indexed keywords

BAYESIAN INFERENCE; BAYESIAN PERSPECTIVE; COPULA; FREQUENCY ANALYSIS; HYDROLOGICAL FREQUENCY ANALYSIS; MARGINAL DISTRIBUTION; MODEL SELECTION; PROBABILISTIC ASSESSMENTS;

ARCHES; BAYESIAN NETWORKS; INFERENCE ENGINES;

FLOODS;

BAYESIAN ANALYSIS; FLOODING; FREQUENCY ANALYSIS; HYDROLOGICAL MODELING; MODEL VALIDATION; PEAK FLOW;

CANADA; ROMAINE RIVER;

EID: 84890414331     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2013.10.013     Document Type: Article

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