Regularization, optimization, kernels, and support vector machines

Available for University of the Philippines Diliman College of Engineering via CRCnetBASE. Click here to access
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An introduction to probability and statistical inference by Roussas, George G.

Statistics for engineers and scientists by Navidi, William Cyrus

Statistics an introduction using R by Crawley, Michael J.

Statistics and probability by Carpio,Joy N., Guillermo,Jaymie M., Angeles,Raul G., De Guzman, Rowena R.

Quantitative risk management concepts, techniques and tools by McNeil, Alexander J., Frey, Rudiger, Embrechts, Paul

Modelling and analysis of compositional data by Pawlowsky-Glahn, Vera

The SAGE handbook of regression analysis and causal inference

Mathematical statistics basic ideas and selected topics by Bickel, Peter J.

Geometry driven statistics