000			02867cam a2200433 i 4500
003			OCoLC
005			20211103043304.0
008			151113t20152015enka b 001 0 eng d
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035			_a(ATU)b19370155
035			_a(OCoLC)928996378
040			_aY$R _beng _erda _cY$R _dOCLCO _dOCLCF _dOCLCQ _dATU
082	0	4	_a519.55 _223
099			_a519.55 STO
100	1		_aStone, J. V., _eauthor.
245	1	0	_aBayes' rule with MatLab : _ba tutorial introduction to Bayesian analysis / _cJames V Stone.
246	3	0	_aTutorial introduction to Bayesian analysis
250			_aFirst edition.
264		1	_aSheffield : _bSebtel Press, _c2015.
264		4	_c©2015
300			_a178 pages : _billustrations ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aPreface -- 1. An introduction to Bayes' rule -- 2. Bayes' rule in pictures -- 3. Discrete parameter values -- 4. Continuous parameter values -- 5. Gaussian parameter estimation -- 6. A bird's eye view of Bayes' rule -- 7. Bayesian wars -- Further reading -- Appendices: -- A. Glossary -- B. Mathematical symbols -- C. The rules of probability -- D. Probability density functions -- E. The binomial distribution -- F. The Gaussian distribution -- G. Least-squares estimation -- H. Reference priors -- I. MatLab code -- References -- Index.
520			_a"Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of commonsense reasoning. Bayes' rule is derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and online Python programs provided. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for the novice who wishes to become familiar with the basic principles of Bayesian analysis."--Publisher's website.
588			_aMachine converted from AACR2 source record.
650		0	_aBayesian statistical decision theory. _9314460
907			_a.b19370155 _b06-09-21 _c14-10-16
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