Introductory Probability/Information Theory textbook reccomendations

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Discussion Overview

The discussion centers around recommendations for textbooks and learning materials in probability and information theory. Participants share their experiences and preferences regarding various books that could aid in building intuition and understanding in these subjects.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant suggests "Introduction to Probability" by Bertsekas and Tsitsiklis as a good resource for building intuition and covering basic material.
  • Another participant recommends Paul Pfeiffer's and Alfred Renyi's texts for information theory, noting their accessibility and affordability.
  • Commonly used texts in electrical engineering include "Probability, Statistics, and Random Processes For Electrical Engineering" by Alberto Leon-Garcia and "Probability, Random Variables and Stochastic Processes" by Athanasios Papoulis, with a preference for Leon-Garcia for its coverage of stochastic processes.
  • One participant expresses a mixed opinion on Bertsekas and Tsitsiklis, finding it interesting but not great, and mentions its use at MIT.
  • Several Schaum's Outline Series books are suggested for additional examples and supplementation, including titles by Hwei P. Hsu and Seymour Lipschutz.
  • Another participant recommends "A First Course in Probability" by Ross, highlighting its affordability and usefulness, while also mentioning "The Art of Probability" by Hamming for its intuitive approach.
  • Discussion includes a mention of "Intuitive Probability and Random Processes" by Kay, which remains unread by one participant but is noted for the quality of Kay's other works.
  • Lastly, "Fifty Challenging Problems in Probability" by Mosteller is suggested for its focus on probabilistic reasoning through problem-solving.

Areas of Agreement / Disagreement

Participants express varied preferences for different textbooks, indicating a lack of consensus on a single best resource. Multiple competing views on the effectiveness and focus of various texts remain present throughout the discussion.

Contextual Notes

Some participants note that their recommendations are influenced by their own educational experiences and the specific needs of learners, suggesting that the effectiveness of a textbook may depend on individual learning styles and goals.

Niznar
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Hey folks,

I've been interested lately in reteaching myself probability as a foundation for information theory. I took an introductory course about 8 months ago and while I did fairly well, I don't feel like I took much intuition away from the course. Are there any recommendations on books or learning materials? Thanks!
 
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A good book for the course in probability which is taught at my University is that of Bertsekas and Tsitsiklis ( Introduction to Probability). It's good in training the intuition and provides all the basic material one needs for more advanced courses.
 
For information theoretic specific textbooks on probability you might try the ones by Paul Pfeiffer or one of the two by Alfred Renyi. All three are excellent and have the added benefit of being published by Dover so they're relatively inexpensive. Pfeiffer's is more conversational and thus likely more accessible.

The most commonly used texts by university electrical engineering departments for preparation of information theory are Probability, Statistics, and Random Processes For Electrical Engineering (3rd Edition) by Alberto Leon-Garcia and Probability, Random Variables and Stochastic Processes by Athanasios Papoulis, which I'd generally recommend in that order though both are excellent. (Leon-Garcia has also written other books on communications which you might read afterwards.) These two also have the added benefit that they have material on Stochastic Processes which you're likely to want for your studies later on as well.

I have the text by Bertsekas and Tsitsiklis that Constantinos mentions and found it to be interesting but not great -- it's also a very cheaply manufactured text. MIT uses it for an intro course on probability, but it's likely that they do so because of the authors' affiliation.

Also inexpensively you'll probably find some of the texts from Schaum's Outline Series useful for additional examples/supplementation:
Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline Series) by Hwei P. Hsu
Schaums Outline of Probability by Seymour Lipschutz
Schaum's Outline of Probability and Statistics by Murray R. Spiegel, John J. Schiller and R. Alu Srinivasan

You might also consider:
Probability and Random Processes With Applications to Signal Processing and Communications by Scott Miller and Donald Childers (I haven't browsed through it, but it's obviously application specific to your needs and might be a great text)

Probability and Statistics for Engineers and Scientists (9th Edition) by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers and Keying E. Ye (It's a bit easier presentation than some of the others while being very logical - take a peek at it if Leon-Garcia isn't quite your speed.)

If you want to go overboard on the heavier math side, take at look at William Feller's magnum opus.

You might also find my recent post http://chrisaldrich.posterous.com/on-choosing-your-own-textbooks" useful.
 
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A standard intro book that I really like is "a first course in probability" by Ross. Old editions are cheap - I took a class from the 3rd edition that I still have on my shelf and refer to. Whether or not is much different from the way you were taught I cannot know ...

One non-standard book that I really like (and will buy sometime!) is "the art of probability" by Hamming. I think it does a great job with intuition, and will likely be a different perspective from the way you were taught. It isn't cheap, though, so try to find it in your library to see if you like it.

As mentioned by chrisaldrich, the books by Leon-Garcia and Papoulis are standard EE books. Leon-Garcia would be okay for a first intro to probability and has quite reasonable chapters on random processes - his topic selection is certainly very good for EEs. The only basic probabiliy topics that it does better than Ross is multivariate distributions (especially Gaussian random vectors), and convergence of sequences of random variables (Ross doesn't really discuss this at all). I love Papoulis but it would likely not be what you are looking for if it is intuition you are after. He does do a nice job covering topics like IQ sampling of random processes that are useful in communications, though. I actually took three courses on these subjects, one out of Ross, one from leon-Garcia (2nd edition), and one from Papoulis (3rd edition), so I know those books pretty well; for basic probability I would stick to Ross. For intuition and something different I like Hamming. Random processes - I would go with leon-garcia for an easy to understand and apply introduction.

If your library is well stocked, you may want to check out "intuitive probability and random processes" by Kay, which I have not read. His other books are really good, so perhaps that one is too!

good luck.

jason

EDIT: forgot about "fifty challenging problems in probability" by Mosteller. Has problems and detailed solutions. Emphasizes probabilistic reasoning, as opposed to emphasizing math. This is just the problems and solutions, but working problems is the best way to learn!
 
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