LOCEN Resources Statistics

Books on probability and statistics

Below we indicate some useful books. We suggest to see Amazon for further comments to decide which book best suites you.

A simple introduction to probability and statistics for a broad audience, with gentle mathematical use

Sanjeev Kulkarni,‎ Gilbert Harman: "An Elementary Introduction to Statistical Learning Theory"

Recommended by many, from Stanford

Hastie, Tibshirani, Friedman: "The Elements of Statistical Learning" 

Nice book covering much of the statistics and probability used in machine learning books

Larry Wassermann: "All of Statistics: A Concise Course in Statistical Inference"

Another book suggested by others

Dimitri P. Bertsekas, John N. Tsitsiklis "Introduction to Probability, 2nd Editionby"


WEB Resources on Statistics

A Brief Introduction to Graphical Models and Bayesian Networks (By Kevin Murphy, 1998; web-page with tutorial and other resources)


Bayes Net Toolbox for Matlab (Written by Kevin Murphy, 1997--2002. Last updated: 19 October 2007)


Online free course on statistics and probability

Stanford's Probability and Statistics

Course with no deadlines self-paced course, no statement of accomplishment, free of cost, no credit, no verification, world class material:


A coursera course  focussed on R

Course on statistic and probability, focussed on R, one of the most important software for statistical analysis become a standard in scintific research (it is also open-source):

Duke U., Statistics with R:


Statistics applied to neuroscience

Statistical Parametric Mapping (and Dynamic Causal Modelling; by University College London):