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Let the evidence speak = using bayes...
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SpringerLink (Online service)
Let the evidence speak = using bayesian thinking in law, medicine, ecology and other areas /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Let the evidence speak/ by Alan Jessop.
Reminder of title:
using bayesian thinking in law, medicine, ecology and other areas /
Author:
Jessop, Alan.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
vi, 226 p. :digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Bayesian statistical decision theory. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-71392-2
ISBN:
9783319713922
Let the evidence speak = using bayesian thinking in law, medicine, ecology and other areas /
Jessop, Alan.
Let the evidence speak
using bayesian thinking in law, medicine, ecology and other areas /[electronic resource] :by Alan Jessop. - Cham :Springer International Publishing :2018. - vi, 226 p. :digital ;24 cm.
Introduction -- Section A. Likelihood -- Section B. Base rate -- Section C. Application -- Conclusion.
This book presents the most important ideas behind Bayes' Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes' Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes' Rule is helpful in thinking about how best to structure one's thinking.
ISBN: 9783319713922
Standard No.: 10.1007/978-3-319-71392-2doiSubjects--Topical Terms:
527671
Bayesian statistical decision theory.
LC Class. No.: QA279.5 / .J477 2018
Dewey Class. No.: 519.542
Let the evidence speak = using bayesian thinking in law, medicine, ecology and other areas /
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Introduction -- Section A. Likelihood -- Section B. Base rate -- Section C. Application -- Conclusion.
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This book presents the most important ideas behind Bayes' Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes' Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes' Rule is helpful in thinking about how best to structure one's thinking.
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Mathematics and Statistics (Springer-11649)
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