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//-->InformationTheoryA Tutorial IntroductionJames V StoneReviews of Information Theory“Information lies at the heart of biology, societies depend on it, and ourability to process information ever more e ciently is transforming our lives.By introducing the theory that enabled our information revolution, thisbook describes what information is, how it can be communicated e ciently,and why it underpins our understanding of biology, brains, and physicalreality. Its tutorial approach develops a deep intuitive understanding usingthe minimum number of elementary equations. Thus, this superb introductionnot only enables scientists of all persuasions to appreciate the relevance ofinformation theory, it also equips them to start using it. The same goes forstudents. I have used a handout to teach elementary information theory tobiologists and neuroscientists for many years. I will throw away my handoutand use this book.”Simon Laughlin, Professor of Neurobiology, Fellow of the Royal Society,Department of Zoology, University of Cambridge, England.“This is a really great book it describes a simple and beautiful idea in away that is accessible for novices and experts alike. This ”simple idea” isthat information is a formal quantity that underlies nearly everything wedo. In this book, Stone leads us through Shannons fundamental insights;starting with the basics of probability and ending with a range of applicationsincluding thermodynamics, telecommunications, computational neuroscienceand evolution. There are some lovely anecdotes: I particularly liked theaccount of how Samuel Morse (inventor of the Morse code) pre-emptedmodern notions of e cient coding by counting how many copies of each letterwere held in stock in a printer’s workshop. The treatment of natural selectionas ”a means by which information about the environment is incorporated intoDNA” is both compelling and entertaining. The substance of this book is aclear exposition of information theory, written in an intuitive fashion (trueto Stone’s observation that ”rigour follows insight”). Indeed, I wish that thistext had been available when I was learning about information theory. Stonehas managed to distil all of the key ideas in information theory into a coherentstory. Every idea and equation that underpins recent advances in technologyand the life sciences can be found in this informative little book.”Professor Karl Friston, Fellow of the Royal Society. Scientific Director of theWellcome Trust Centre for Neuroimaging,Institute of Neurology, University College London.Reviews of Bayes’ Rule: A Tutorial Introduction“An excellent book ... highly recommended.”CHOICE: Academic Reviews Online, February 2014.“Short, interesting, and very easy to read, Bayes’ Rule serves as an excellentprimer for students and professionals ... ”Top Ten Math Books On Bayesian Analysis, July 2014.“An excellent first step for readers with little background in the topic.”Computing Reviews, June 2014.“The author deserves a praise for bringing out some of the main principlesof Bayesian inference using just visuals and plain English. Certainly a niceintro book that can be read by any newbie to Bayes.”https://rkbookreviews.wordpress.com/, May 2015.From the Back Cover“Bayes’ Rule explains in a very easy to follow manner the basics of Bayesiananalysis.”Dr Inigo Arregui, Ramon y Cajal Researcher, Institute of Astrophysics,Spain.“A crackingly clear tutorial for beginners. Exactly the sort of book requiredfor those taking their first steps in Bayesian analysis.”Dr Paul A. Warren, School of Psychological Sciences, University ofManchester.“This book is short and eminently readable. It introduces the Bayesianapproach to addressing statistical issues without using any advancedmathematics, which should make it accessible to students from a wide rangeof backgrounds, including biological and social sciences.”Dr Devinder Sivia, Lecturer in Mathematics, St John’s College, OxfordUniversity, and author of Data Analysis: A Bayesian Tutorial.“For those with a limited mathematical background, Stone’s book provides anideal introduction to the main concepts of Bayesian analysis.”Dr Peter M Lee, Department of Mathematics, University of York. Author ofBayesian Statistics: An Introduction.“Bayesian analysis involves concepts which can be hard for the uninitiated tograsp. Stone’s patient pedagogy and gentle examples convey these conceptswith uncommon lucidity.”Dr Charles Fox, Department of Computer Science, University of She eld.Information TheoryA Tutorial IntroductionJames V StoneTitle: Information Theory: A Tutorial IntroductionAuthor: James V Stonec 2015 Sebtel PressAll rights reserved. No part of this book may be reproduced ortransmitted in any form without written permission from the author.The author asserts his moral right to be identified as the author of thiswork in accordance with the Copyright, Designs and Patents Act 1988.First Edition, 2015.ATypeset in L TEX 2".Cover design: Stefan Brazzo.Second printing.ISBN 978–0–9563728–5–7The front cover depicts Claude Shannon (1916-2001). [ Pobierz całość w formacie PDF ]

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