A theory for modeling ground-water flow in heterogeneous media

By R. L. Cooley. 2004

62 citations recorded by the source corpus.

Subfields: Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/4545e72ae60028556b0add6f494cbc5ee14d23f5

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In Environmental Engineering

In Ocean Engineering

Citations in the corpus

Efficient nonlinear predictive error variance for highly parameterized models (2006, background): “Its value depends on the confidence interval sought and on whether individual or simultaneous confidence intervals are calculated [Cooley, 2004].”
Calibration‐constrained Monte Carlo analysis of highly parameterized models using subspace techniques (2009, background): “…of it can be difficult in practice since the stochastic characteristics of measurement noise and of structural noise induced through the parameterization scheme (and indeed by the model itself) are never known precisely and are computationally intensive to evaluate [see Cooley, 2004].”
A synthetic groundwater modelling study of the accuracy of GLUE uncertainty intervals (2004, methodology): “Cooley (2003) has shown that for linear models of f(u1) and f(b), e ¼ Y 2 f ðu* 1Þ , Nð0;VÞ ð5Þ where f ðu* 1Þ is the vector of hydraulic heads computed by a model where each element of b is replaced by a constant value u* equal to the spatial average value of b.”
Analysis of regression confidence intervals and Bayesian credible intervals for uncertainty quantification (2012, methodology): “Model intrinsic nonlinearity is small [Vecchia and Cooley, 1987; Christensen and Cooley, 1999; Cooley, 2004].”
A hybrid regularized inversion methodology for highly parameterized environmental models (2005, background): “However, the L2 norm has desirable qualities including the ability to assess parameter and predictive uncertainty [Bard, 1974; Cooley, 2004].”