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    Cover of A probability path

    A probability path

    Sidney I. Resnick · 1999

    This textbook is geared toward beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead, A Probability Path is designed for those requiring a deep understanding of advanced probability for their research in statistics, applied probability, biology, operations research, mathematical finance, and engineering.

    Data & StatisticsMathematics
    Open LibraryAmazon
    Stats for nerds
    1recommend
    3mentions
    3people
    2010–2015years
    33% recommend33% neutral33% critical

    Mentions per year

    201020112012201320142015

    What Hacker News says

    1. harshrealityApr 2014
      As mentioned in another subthread, Pugh's Real Mathematical Analysis is great, and better motivated than baby Rudin.

      Wilf - Generatingfunctionology (CRC 3rd ed.; free 2nd ed. pdf[1])

      Lovasz - Combinatorial Problems and Exercises (AMS Chelsea)

      The classic probability book is Feller (2 vol), but it's absurdly priced. There's also Sidney Resnick's Probability Path and Adventures in Stochastic Processes. Grinstead & Snell - Introduction to Probability Theory is free[2], and there's also Chung's A Course in Probability Theory (Academic Press/Elsevier).

      Dover publishes at least three good books on counterexamples and pathological cases: Counterexamples in {Analysis, Probability, Topology}

      [1] http://www.math.upenn.edu/~wilf/DownldGF.html

      [2] http://www.dartmouth.edu/~chance/teaching_aids/books_article...

      thread
    2. keithpeterOct 2015
      Thanks

      The Amazon UK reviews of Chung's book lead me to A Probability Path by Sidney Resnick which appears to be aimed at non-mathematicians. I have invested (speaking as a renegade physicist lacking a systematic exploration of measure theory).

      thread
    3. dmvaldmanOct 2010
      The roadmap would be to first learn analysis (advanced calculus), then measure theory, then get a measure theory probability book.

      I'll assume you are teaching this to yourself.

      For analysis, I wouldn't get Rudin's book (concepts are poorly motivated). There are plenty of good Dover books. But I haven't read them because, well, I learned from Rudin.

      For measure theory, I'd read Kolmogorov and Fomin's book. Rudin also has a measure theory book, which is much better than his analysis book, but it's hefty. Good problems though.

      For a book on Probability, we read A Probability Path at my university. I wasn't fond of it. Someone referred me to Probability with Martingales, and though I didn't read it, it looked very good.

      thread

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