A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors-Reference-Cited by-同舟云学术

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A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors

Published:2010-10 Issue:10 Volume:46 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Schoups Gerrit¹,Vrugt Jasper A.²³⁴

Affiliation:

1. Department of Water ManagementDelft University of Technology Delft Netherlands

2. Center for Nonlinear StudiesLos Alamos National Laboratory Los Alamos New Mexico USA

3. Institute for Biodiversity and Ecosystem DynamicsUniversity of Amsterdam Amsterdam Netherlands

4. Department of Civil and Environmental EngineeringUniversity of California Irvine California USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2009WR008933

Reference49 articles.

1. Sustainable water resource management under hydrological uncertainty

2. A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall-runoff modeling

3. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

4. So just why would a modeller choose to be incoherent?

5. Bayesian Inference in Statistical Analysis

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