This classic introduction to probability theory for beginning graduate students is a comprehensive treatment concentrating on the results most useful for applications.
This book uses mathematical arguments to obtain insights into random graphs.
This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author's philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.
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