Probability and Information: An Integrated Approach

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Probability and information: An integrated approach

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Udagawa, Takuma and Katsura, Hosho Finite-size gap, magnetization, and entanglement of deformed Fredkin spin chain. Journal of Physics A: Mathematical and Theoretical, Vol. Advanced Data Mining and Applications. Probability, Information and Statistical Physics. International Journal of Theoretical Physics, Vol. Pham, Tuan D Classification of complex biological aging images using fuzzy Kolmogorov—Sinai entropy. Journal of Physics D: A Field Guide to Mechanisms: Error model and the reliability of arithmetic operations.

From Books to Cyberspace Identities. Cambridge University Press Online publication date: Information Theory, Inference and Learning Algorithms. An Introduction to Information Theory: Customers who bought this item also bought. Cambridge University Press; 2nd edition September 1, Language: Related Video Shorts 0 Upload your video. Try the Kindle edition and experience these great reading features: Share your thoughts with other customers. Write a customer review. There was a problem filtering reviews right now.

Probability and Information

Please try again later. And I quite enjoyed it! I was glad to see that it had been followed by a second edition, but surprised to see that it had only rated "two stars".

After reading the earlier review, I thought "It wasn't that bad, was it? So I went back and looked at my copy, and sure enough I had pencil-corrected several errors one couldn't call them typos, because they recurred.

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I already had a sufficient background in probability theory, so the errors were immediately recognizable. In fact, it looks like somebody maybe an editor, rather than the author decided to "fix" the notation, but only converted half of the instances, leaving a confused mess. In this section, there are also two places where they wrote "continuous probability" rather than the intended "conditional probability". Somebody was having a bad day!

I see that the 2nd edition of this book has added a tenth chapter, introducing stochastic processes and Markov chains. Judging from the 1st edition, I would expect this to be a valuable "middle way" through those topics, as well. Any 2nd edition owners care to comment? I've only read half this book, and I don't think I'll finish it.

Probability and information : an integrated approach (eBook, ) []

I'm a philosophy grad student and I wanted to get more in-depth in my understanding of probability theory and information theory. But I'm finding this book unhelpful. First, some of the topics are insufficiently covered. Despite the fact that Chapter 2 is devoted entirely to combinatorics, there's all of 1 page that introduces and explains 'nPr' and 'nCr', and the explanations are a merely examples or b difficult to understand mathematicianese.

Second, if you're working independently, doing the problems isn't very helpful. This is because instead of solutions being formulae as when the problem is 'if 2 balls are drawn from a container of n red and m blue balls, what's the probability that they're both red?

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This makes it difficult to see from the answers in the back of the book a what one did wrong, when one gets a problem wrong and b how to get the problem right. Third, I just found a lot of the book's cutesyness annoying and absurd. For instance, the author takes sets to be lists of symbols. This is fine at first, but then he says things like 'the number 5 is in set S' as though numbers were symbols, and 'the set R is larger than the set N' as though there could be more than countably many symbols, and then uses the set comprehension notation in inconsistent ways, e.

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Also on p47 the author gets Bayes's Theorem wrong!!! Exercise for the reader: But I think it just tells of general sloppiness in argumentation where the author makes leaps and the reader, who is trying to learn, can't really follow. Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers.