Geostatistics

Textbook

Kitanidis, Introduction to Geostatistics, Cambridge University Press, 2010

References

Stein, Interpolation of Spatial Data: Some Theory for Kriging, Springer, 1999

Goovaerts, Geostatistics for Natrual Resources Evaluation, Oxford University Press, 1996

Chiles and Delfiner, Modeling Spatial Uncertainty (2nd Ed.), John Wiley & Sons, 2012

Pyrcz and Deutsch, Geostatistical Reservoir Modeling (2nd Ed.), Oxford University Press, 2014

Reviews

Linear Algebra

• Petersen and Pedersen, The Matrix Cookbook

• Strang, Linear Algebra and Learning from Data, Wellesley Cambridge Press, 2019

Probability/Statistics

• Jaynes, Probability Theory: The logic of science, Cambridge University Press, 2003 & Aubrey Clayton's Lectures on Jaynes’ book

• Gelman, Carlin, Stern, Dunson, Vehtari and Rubin, Bayesian Data Anaysis, CRC Press, 2014 (pdf available for non-commerical purposes)

• Hastie, Tibshirani and Friedman, The Elements of Statistical Learning, Springer, 2009

• Diaconis and Skyrms, Ten great ideas about chance. Princeton University Press, 2019

• Sivia and Skilling, Data Analysis: a Bayesian Tutorial, Oxford University Press, 2006

• Rasmussen and Williams, Gaussian Processes for Machine Learning, MIT press, 2006

• MacKay, Information Theory, Inference and Learning Algorithms, Cambridge University Press, 2003

Python

Learn Python by teaching Karel the Robot from Stanford CS 160A

ETC

Hearly, Data Visualization: A practical introduction, Princeton University Press, 2018