Geostatistical analyses require an estimation of the covariance structure of a random field and its parameters jointly from noisy data. Whereas in some cases (as in that of a Matérn variogram) a range of structural models can be captured with one or a few parameters, in many other cases it is necessary to consider a discrete set of structural model… (More)

Reply to comment by Ming Ye et al. on “Inverse groundwater modeling for hydraulic conductivity estimation using Bayesian model averaging and variance window

FTC Tsai, X Li

Water Resour Res 46:W02802

2010

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Inverse groundwater modeling for hydraulic conductivity estimation using Bayesian model averaging and variance window