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ENERGY 242: Topics in Advanced Geostatistics (ESS 263)

Conditional expectation theory and projections in Hilbert spaces; parametric versus non-parametric geostatistics; Boolean, Gaussian, fractal, indicator, and annealing approaches to stochastic imaging; multiple point statistics inference and reproduction; neural net geostatistics; Bayesian methods for data integration; techniques for upscaling hydrodynamic properties. May be repeated for credit. Prerequisites: 240, advanced calculus, C++/Fortran.
Terms: not given this year | Units: 3-4 | Repeatable for credit | Grading: Letter (ABCD/NP)
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