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020			_a0956372848
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050		4	_aQA279.5
082		4	_a519.5
090			_c32002 _d32002
100	1		_aStone, James V.,
546			_aeng
245	1	b	_aBayes' rule : _bA tutorial introduction to Bayesian analysis _cJames V. Stone
260			_aSheffield: _bSebtel Press, _c2013
300			_a170 p. _bill ; _c23 cm
500			_aBibliografie p. 165 Index p. 169
505	0		_aAn introduction to Bayes' rule -- Bayes' rule in pictures -- Discrete parameter values -- Continuous parameter values -- Gaussian parameter estimation -- A bird's eye view of Bayes' rule -- Bayesian wars -- 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.
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 description.
650		0	_aBayesian statistical decision theory.
942			_aIMAR _cCART _k519.5 _sEP
999			_c31561 _d31561