Skip to main content
BookintermediatePaid

Probability

by Geoffrey Grimmett, David Stirzaker · Grimmett

Graduate-level treatment of probability theory and stochastic processes, covering measure-theoretic foundations, generating functions, Markov chains, martingales and diffusion. Working the exercises builds the machinery needed for research in stochastic processes and mathematical statistics.

Visit resource

This link may earn us a small commission at no extra cost to you. Affiliate disclosure

More resources on Probability

BookPaid

Introduction to Probability

Learn the fundamentals of probability with this introductory book by Blitzstein & Hwang. Perfect for statistics beginners!

WebsiteFree

probabilitycourse.com

ProbabilityCourse.com is an online learning resource that provides a structured probability course with clear explanations, worked examples, and practice problems covering topics from basics to advanced theory.

WebsiteFree

seeing-theory.brown.edu

Seeing Theory is an interactive, browser-based resource from Brown University that uses visual simulations to explain fundamental probability and statistics concepts. It offers interactive demos and explanations on topics like probability, distributions, sampling, the central limit theorem, confidence intervals, hypothesis testing, and Bayesian reasoning.

VideoFree

Bayes Theorem, the geometry of changing beliefs

Grant Sanderson builds Bayes' theorem from a diagram of overlapping populations rather than the formula, using the medical-test and Steve-the-librarian examples. Viewers finish able to reason about how evidence should shift a prior probability.

CourseFree

Information Theory (MIT 6.441)

Graduate introduction to the mathematics of information: entropy, lossless compression, binary hypothesis testing, channel coding and lossy compression. Provides 29 lecture note files that together form a textbook-length treatment, plus problem sets. Prepares you to state and prove the core coding theorems.

VideoFree

Binomial distributions | Probabilities of probabilities, part 1

Animated walkthrough of the binomial distribution, using a product-review example to show how observed successes and failures translate into a probability density over an unknown underlying success rate. Explains where the binomial coefficient comes from.

See all Probability resources →