April 7: Simulation, inversion and parameter estimation in Markov random fields (www.math.ntnu.no/~joeid/TMA4250/romlig7april11.pdf)
March 31: Markov random fields. Brooks lemma. (www.math.ntnu.no/~joeid/TMA4250/romlig31march11.pdf)
March 29: Mosaic fields (www.math.ntnu.no/~joeid/TMA4250/romlig29march11.pdf)
March 10: Clustering processes (www.math.ntnu.no/~joeid/TMA4250/romlig10march11.pdf)
March 3: Poisson processes (www.math.ntnu.no/~joeid/TMA4250/romlig3march11.pdf)
March 1: Spatial point processes (www.math.ntnu.no/~joeid/TMA4250/romlig1march11.pdf)
Feb 10: Examples and further topics. Paper by Buland and Omre (2003) on seismic inversion (www.math.ntnu.no/~joeid/TMA4250/bulandomre.pdf).
Feb 8: Examples and further topics. Manuscript (www.math.ntnu.no/~joeid/TMA4250/notepart1.pdf).
Feb 3: Parameter estimation for Gaussian data: Frequentist method, Maximum likelihood. (www.math.ntnu.no/~joeid/TMA4250/romlig3feb11.pdf)
Feb 1: Bayesian kriging and parameter estimation for Gaussian data. Chapter 8 Le and Zidek. (www.math.ntnu.no/~joeid/TMA4250/romlig1feb11.pdf)
Jan 27: Spatial prediction: Bayesian kriging. Chapter 8 Le and Zidek. (www.math.ntnu.no/~joeid/TMA4250/romlig27jan11.pdf)
Jan 25: Spatial prediction: Kriging. Chapter 7 Le and Zidek. (www.math.ntnu.no/~joeid/TMA4250/romlig25jan11.pdf)
Jan 20: Spatial prediction: Kriging. Chapter 7 Le and Zidek. (www.math.ntnu.no/~joeid/TMA4250/romlig20jan11.pdf)
Jan 18: Gaussian random fields: Variograms and covariance models. Stationarity. Chapter 6 Le and Zidek. (www.math.ntnu.no/~joeid/TMA4250/18jan11.pdf)
Jan 13: Introduction to Spatial statistics. (www.math.ntnu.no/~joeid/TMA4250/romlig_12jan11.pdf) Gaussian models. Gaussian random fields and covariance models. Chapter 6 Le and Zidek.
Jan 12: Information meeting