Tell me more ×
Cross Validated is a question and answer site for statisticians, data analysts, data miners and data visualization experts. It's 100% free, no registration required.

How comprehensive is the following book - What interpretations are missing?

Interpretations of Probability, Andrei Khrennikov, 2009, de Gruyter, ISBN 978-3-11-020748-4

http://www.degruyter.com/cont/fb/ma/detailEn.cfm?isbn=9783110207484&sel=pi

Contents:http://www.degruyter.com/files/pdf/9783110207484Contents.pdf

share|improve this question
1  
I don't think it is a valid question here; just check out wiki and references there: en.wikipedia.org/wiki/Probability_interpretations – mbq Jul 28 '10 at 18:20
That wikipedia article is filled with "dubious-discuss" and other tags, so the question would become how comprehensive is that wiki article, what interpretations are missing from it. – Roy Maclean Jul 28 '10 at 18:26
1  
Still references are quite informative. And nevertheless even if it is discussive and mentions something that is not present in the book it is some kind of a clue, isn't it? – mbq Jul 28 '10 at 18:45
See the meta thread: meta.stats.stackexchange.com/questions/213/… where this question is proposed to be closed. – user28 Jul 29 '10 at 13:25

closed as not a real question by mbq, Srikant Vadali, csgillespie, Peter Smit, Rob Hyndman Jul 29 '10 at 23:43

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, see the FAQ.

1 Answer

Though quantum probability and negative probability models are quite interesting, this is hardly exhaustive of nonstandard models of probability. There are for instance, imprecise probability models, and models that violate Kolmogorov's countable additivity axiom, and more.

As an aside, the book may be more properly called 'Models of Probability'. Interpretations of probability, generally involve characterizing the competing understandings of probability as logically prescribed values, limiting frequencies, propensities, subjective beliefs, etc. Models, or axiomatizations can certainly be motivated by these understandings, but the problem of creating a variant system is different than arguing for a particular interpretation.

share|improve this answer
Not comprehensive at all then. Thanks. – Roy Maclean Jul 28 '10 at 18:41

Not the answer you're looking for? Browse other questions tagged or ask your own question.