Learn Probability Theory: Find a Book to Self-Study

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SUMMARY

The discussion centers on selecting suitable self-study resources for probability theory. Users recommend William Feller's "An Introduction to Probability Theory and Its Applications" for its clear exposition and numerous exercises with solutions. Additionally, Meester's "A Natural Introduction to Probability Theory" is praised for its clarity and abundance of examples. The user expresses a preference for books that balance rigor with accessibility, similar to Rudin's "Principles of Mathematical Analysis."

PREREQUISITES
  • Strong mathematical background, including completion of all math major requirements
  • Familiarity with advanced mathematical texts, such as Rudin's "Principles of Mathematical Analysis"
  • Basic understanding of probability theory concepts
  • Ability to engage with mathematical exercises and problem-solving
NEXT STEPS
  • Research William Feller's "An Introduction to Probability Theory and Its Applications" for self-study
  • Explore Meester's "A Natural Introduction to Probability Theory" for its practical examples
  • Investigate "A Probability Path" by Sidney Resnick for additional perspectives on probability theory
  • Look for online resources or forums that provide solutions to exercises in probability textbooks
USEFUL FOR

Mathematics students, self-learners in probability theory, educators seeking teaching resources, and anyone looking to deepen their understanding of probability with structured exercises.

ehrenfest
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What book should I get to learn probability theory by self-study? I bought Shiryaev's Graduate Text in Mathematics and the problem is that it just develops so much theory but then provides few exercises, making it really hard to self-study. I probably should have expected this though. So, I am looking for something a little less advanced than Shiryaev but still rigorous since I have a pretty strong math background (I have completed all the math major requirements). Something at the level of Rudin's "Principles of Mathematical Analysis" would be good. It would be nice if it had answers or solutions in the back of the book or somewhere on the internet also.
 
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I suggest (2 volumes) by William Feller. The exposition of the theory is clear and concise, and it contains many insightful worked examples and problems (with answers to selected problems in the back).
 
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Has anyone used "A Probability Path" by Sidney Resnick?
 

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