bayes teoremi

• (1) an intuitive explanation of bayes' theorem / eliezer s. yudkowski
  (2) a technical explanation of technical explanation / eliezer s. yudkowski
  (3) the odds, continually updated / f. d. flam / the new york times / 29 september 2014
  
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  "why isn’t every statistician a bayesian? the answer is simply that statisticians do not know what the bayesian paradigm says. why should they? there are very few universities in the world with statistics departments that provide a good course in the subject. only exceptional graduate students leave the field of their advisor and read for themselves. a secondary reason is that the subject is quite hard for someone who has been trained in the sampling-theory approach to understand. . . . the subject is difficult. some argue that this is a reason for not using it. but it is always harder to adhere to a strict moral code than to indulge in loose living. . . . every statistician would be a bayesian if he took the trouble to read the literature thoroughly and was honest enough to admit that he might have been wrong." (d.v. lindley, 1986, pp. 6–7)
  
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  tema:
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