
Introduction to Probability
by Dimitri P. Bertsekas, John N. Tsitsiklis · first published 2008
8mentions
7recommended by
7HN commenters
2010–2022first – last mentioned
100% recommend
Why HN recommends it
Clear, intuition-driven introduction to probability with well-written explanations and many worked problems; suits beginners, self-learners refreshing the basics, and engineers wanting a companion to MIT lectures.
Summarised by Claude from recommending comments
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Get "Introduction to Probability" by Dmitri Bertsekas. The solutions are available on the web also, so it makes it easy to work through the problems until you get it. There's other good books out there, but I still keep the Bertsekas…
on “Ask HN: Good book about statistics and probability?” ↗…stochastic processes. Similar approaches, intuition, and focus on discrete probability to skip the metric theory complications of continuous dists.) Another very good book is Bertsekas and Tsitsiklas, Introduction to Probability. This book will also give you some intuition. I've heard Grimmitt recommended but I think B&T is better. You could also start with Papoulis (a stochastic processes classic book, but it does the intro…
on “Ask HN: What are your favorite statistics and probability textbooks?” ↗About a year ago, I refreshed my memory of basic probability theory with Bertsekas & Tsitsiklis Introduction to Probability and really enjoyed their approach.
on “Ask HN: Learning advanced math” ↗Used for engineering at leading university's: S. Ross, A first course in probability, 8th Edition, Pearson Prentice Hall 2010. Suggested by prof as being good for learning: Introduction to probability, D. P. Bertsekas and J. N. Tsitsiklis, Athena Scientific , 2002. ISBN 1-886529-40-X. This is an excellent book for further reading and understanding some of the material.
on “Suggest good sites/books on probability” ↗Introduction to Probability, 2nd Edition by Dimitri P. Bertsekas, John N. Tsitsiklis. It is textbook for EECS Probability course at MIT and very well written for beginners. Additionally, there are video lectures available on MIT…
on “Ask HN: What are your favorite statistics and probability textbooks?” ↗…theory and statistics. Here below is an intro to how math people think (FREE): * Book of Proof by Hammack: https://www.people.vcu.edu/~rhammack/BookOfProof/ For intro linal and probability, try * Introduction to Probability by Bertsekas, Tsitsiklis: https://www.amazon.com/Introduction-Probability-2nd-Dimitri-... * Linear Algebra by Kuldeep Singh: https://www.amazon.com/Linear-Algebra-Step-Kuldeep-Singh-ebo... Both (clear…
on “Ask HN: What math course should I take?” ↗I do not know how this book is, but if you are looking to learn Probability by yourself, a great resource is- Introduction to Probability by Dimitri Bertsekas and John TTsitsiklis. I highly recommend it.
on “Introduction to Probability for Data Science” ↗…Alternatively/additionally Sheldon Axler's Linear Algebra Done Right. Must watch 3blue1brown series on LinAlg. - Analysis: Spivak's Calculus (yes). Understanding Analysis is also supposed to be good. - Probability: Introduction to Probability by Dimitri Bertsekas and John Tsitsiklis. - Graphs: Plenty nice books. Can also choose GT specific chapters from Discrete Math books. Edit: If you haven't have formal Math training, you need to learn…
on “Ask HN: Anyone Considering Getting a Math/Phys Msc/PhD” ↗