Regulärer Preis: 30,95 €

Details zum Angebot: Details zum Angebot:
  • 1 Hörbuch pro Monat
  • 30 Tage kostenlos testen
  • Dann 9,95 € pro Monat
  • Jederzeit kündbar
  • Unbegrenzt Audible Original Podcasts hören
ODER
Im Warenkorb

Inhaltsangabe

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.

In the first-ever account of Bayes' rule for general readers and listeners, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years - at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany's Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA decoding to Homeland Security.

Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

©2011 Sharon Bertsch McGrayne (P)2012 Tantor

Kritikerstimmen

"If you are not thinking like a Bayesian, perhaps you should be." ( New York Times Book Review)

Das könnte Ihnen auch gefallen

Hörerrezensionen

Bewertung

Gesamt

  • 4.5 out of 5 stars
  • 5 Sterne
    5
  • 4 Sterne
    4
  • 3 Sterne
    1
  • 2 Sterne
    0
  • 1 Stern
    0

Sprecher

  • 3.5 out of 5 stars
  • 5 Sterne
    2
  • 4 Sterne
    2
  • 3 Sterne
    2
  • 2 Sterne
    0
  • 1 Stern
    1

Geschichte

  • 4 out of 5 stars
  • 5 Sterne
    3
  • 4 Sterne
    2
  • 3 Sterne
    2
  • 2 Sterne
    0
  • 1 Stern
    0
Sortieren nach:
  • Gesamt
    3 out of 5 stars
  • Sprecher
    3 out of 5 stars
  • Geschichte
    3 out of 5 stars

A collection of Bayes anecdotes

This book is a collection of anecdotes about man and projects working with Bayesian principles.

If you know your stats and would like to hear a light survey of where did Bayes come up in the past, this book is for you.

You won't find here any in-depth explanation of what the frequentism-bayes conflict is really about or how do you use Bayes.

The speaker and the stories are ok but not gripping.