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Probability and Optimisation contains a brand new supplement discussing relevant developments in the area since the book’s initial publication.
Probability for Statistical Science
Cambridge Studies in Advanced Mathematics, 68
Harvard University, Massachusetts
2013 228 x 152 mm 534pp 160 exercises 978-1-107-65649-9 Paperback £50.00 For all formats available, see
www.cambridge.org/9781107656499
Algebraic and Geometric Ideas in the Theory of Discrete Optimization Jesús De Loera University of California, Davis
Raymond Hemmecke Technische Universität München
and Matthias Köppe University of California, Davis
This book presents recent advances in the theory of discrete optimization, particularly those arising from algebraic geometry, commutative algebra, convex and discrete geometry. The material within is not yet well known, and is accessible to students of mathematics computer science, algorithms or operations research at advanced undergraduate level and beyond.
Joseph Blitzstein and Carl Morris Harvard University, Massachusetts
This graduate text arises from Harvard’s celebrated Stat 110 course and covers standard material from the point of view of what is needed for the data sciences. It introduces ideas from measure theory, but with a light hand and fully motivated; the aim is to equip students to understand constructions that use measure theory. Most important, many of the examples and exercises involve estimation and inference. Every chapter ends with a set of exercises, and there are also ‘pencil problems’ throughout to encourage students to engage with the material, build confidence, and test intuition. 2014 253 x 177 mm 400pp 978-0-521-76634-0 Hardback Publication August 2014
c. £70.00
For all formats available, see
www.cambridge.org/9780521766340
MPS-SIAM Series on Optimization, 14
2013 247 x 174 mm 333pp 978-1-61197-243-6 Paperback £75.00 For all formats available, see
www.cambridge.org/9781611972436
Visit our website at www.cambridge.org/statistics