STAT 625 - Spatial Statistics and Image Analysis

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Analysis of geostatistical data, variogram, co-variogram, spatial prediction, kriging, Lattice models, Markov random fields and their use in Bayesian inference for spatial models, statistical image analysis, frequentist and Bayesian approaches and their applications. Additional topics in image analysis, such as mixture analysis, segmentation and in spatial point process theory may be covered.