Toward diagnostic model calibration and evaluation: Approximate Bayesian computation
نویسندگان
چکیده
منابع مشابه
Toward diagnostic model calibration and evaluation: Approximate Bayesian computation
[1] The ever increasing pace of computational power, along with continued advances in measurement technologies and improvements in process understanding has stimulated the development of increasingly complex hydrologic models that simulate soil moisture flow, groundwater recharge, surface runoff, root water uptake, and river discharge at different spatial and temporal scales. Reconciling these ...
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Just when you thought it was safe to go back into the water, I’m going to complicate things even further. The Nielsen-Wakely-Hey [5, 3, 4] approach is very flexible and very powerful, but even it doesn’t cover all possible scenarios. It allows for non-equilibrium scenarios in which the populations from which we sampled diverged from one another at different times, but suppose that we think our ...
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Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics. In all model-based statistical inference, the likelihood function is of central importance, since it expresses the probability of the observed data under a particular statistical model, and thus quantifies the support data lend to particular values of parameters and to choices amon...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2013
ISSN: 0043-1397
DOI: 10.1002/wrcr.20354