Treffer: Book reviews.

If you would like to review a book, and thereby to retain it for your collection, please contact the Book Reviews Editor, whose details can be found by clicking on "book review list" in the information on the Royal Statistical Society's Web site: http://www.rss.org.uk/book-reviews Reviews in this issue Arnold, T., Kane, M. and Lewis, B. W. I A Computational Approach to Statistical Learning i , p. 1324 Lo, A. I Derivative Pricing: a Problem-based Primer i , p. 1324 Magallanes Reyes, J. M. I Introduction to Data Science for Social and Policy Research: Collecting and Organising Data with R and Python i , p. 1325 Pearl, J., Glymour, M. and Jewell, N. P. I Causal Inference in Statistics: a Primer i , p. 1325 A Computational Approach to Statistical Learning T. Arnold M. Kane B. W. Lewis 2019 Boca Raton - + pp., £52.00 ISBN 978-1-138-04637-5 Advances in computers have extensively impacted developments in computational statistics and have moulded the direction of statistical thinking. The mathematically sophisticated feature of this pricing model that stock prices follow geometric Brownian motion is not used here, but rather log-normal-distributed stock prices are simply described as a continuous variant of the binomial tree representation. With such a remit, the sections on installing Python have inevitably become out of date meaning that some interpolation of the instructions and links in Chapter 2 are required after on-line software changes since the book's publication. [Extracted from the article]

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