Bayes’ Rule

Bayes’ Rule

Bayes' Rule

James V. Stone

24,66 €
IVA incluido
Consulta disponibilidad
Editorial:
Sebtel Press
Año de edición:
2013
ISBN:
9780956372840
Páginas:
224
Encuadernación:
Otros
Añadir a favoritos

What does a medical test tell us about the chances of having a particular disease?  How can we tell if a spoken phrase is, 'four candles’ or 'fork handles’? How do we a perceive a three-dimensional world from from the three-dimensional images on our retinas?The short answer is Bayes’ rule, which transforms meaningless statistics and raw data into useful information. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone’s book is renowned for its visually engaging style of presentation, which stems from teaching Bayes’ rule to psychology students for over 10 years as a university lecturer. 3

Artículos relacionados

  • OBJECTIVE BAYESIAN INFERENCE
    Dongchu Sun / James O Berger / Jose M Bernardo / JOSE M BERNARDO DONGCHU JAMES O BERGER
    Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involves analysis of data.A widespread misconception is that Bayesian analysis is a more subj...
    Disponible

    178,87 €

  • Beta Parameters For Unidirectional Interpretation of Bayesian Optimization
    Diego Munoz
    In 'Beta Parameters for Unidirectional Interpretation of Bayesian Optimization', Diego Munoz dives into the intricate mathematical underpinnings behind how Bayesian optimization works but focusing more on what role beta parameters play in influencing our unidirectional lean. A probabilistic approach combined with real-life examples, it offers a more thorough examination of what...
    Disponible

    38,23 €

  • Bayesian Logical Data Analysis for the Physical Sciences
    P. C. Gregory / PCGregory
    ...
    Disponible

    87,50 €

  • Bayesian Logical Data Analysis for the Physical Sciences
    P. C. Gregory / PCGregory
    ...
    Disponible

    222,97 €

  • An Elementary Introduction to the Theory of Probability
    A. Ya Khinchin / AYa Khinchin / B. V. Gnedenko / BVGnedenko / W. R. Stahl / WRStahl
    2014 Reprint of 1961 Edition. Full facsimile of the original edition. Not reproduced with Optical Recognition Software. This introduction to probability theory and its applications differs from most texts in that it uses basic probability concepts to solve commonplace problems that would normally be handled by statistical methods. Numerous examples deal primarily with indu...
  • Spatial Bayesian Cloth
    Blangiardo
    ...

Otros libros del autor