Bayesian calibration of groundwater models with input data uncertainty

Toward calibration of regional groundwater models using GRACE data

0022-1694/$ see front matter 2011 Published by doi:10.1016/j.jhydrol.2011.10.025 ⇑ Corresponding author. Present address: Bureau o School of Geosciences, University of Texas at Austi Tel.: +1 512 475 6190. E-mail address: [email protected] (A.Y. Sun). Regional groundwater models are increasingly used for shortand long-termwater resources planning, in anticipation of greater climate variability and ...

EFFECTIVE GROUNDWATER MODEL CALIBRATION : With Analysis Of Data , Sensitivities , Predictions , and Uncertainty

Exercise 3.2d: Calculate weights on hydraulic-head and flow observations For the head observations, first calculate the total variance of measurement error for the head observations, by adding the variance for the elevation measurement and the variance for the water-level measurement. This total variance is 1.0025 m, as shown in Table 3.2. Then, calculate the weight as the inverse of this varia...

on some bayesian statistical models in actuarial science with emphasis on claim count

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Bayesian Calibration of Simulators with Structured Discretization Uncertainty

Bayesian Calibration of Microsimulation Models.

Microsimulation models that describe disease processes synthesize information from multiple sources and can be used to estimate the effects of screening and treatment on cancer incidence and mortality at a population level. These models are characterized by simulation of individual event histories for an idealized population of interest. Microsimulation models are complex and invariably include...