Earth SciencesEART 279 Interpretive Data Processing

Rigorous statistical treatment of geophysical data involving: Bayesian inference; stochastic processes and fields; information theory; non-linear and non-assumptive error analysis; cluster analysis; regional variables; correlograms and kriging. Develops the theoretical framework of linear geostatistics and geophysical inverse theory. Designed for graduate students but available to qualified Earth sciences majors.

Credits

5

Repeatable for credit

Yes