Credal set

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Template:Short description In mathematics, a credal set is a set of probability distributions[1] or, more generally, a set of (possibly only finitely additive) probability measures. A credal set is often assumed or constructed to be a closed convex set. It is intended to express uncertainty or doubt about the probability model that should be used, or to convey the beliefs of a Bayesian agent about the possible states of the world.[2]

If a credal set K(X) is closed and convex, then, by the Krein–Milman theorem, it can be equivalently described by its extreme points ext[K(X)]. In that case, the expectation for a function f of X with respect to the credal set K(X) forms a closed interval [E_[f],E[f]], whose lower bound is called the lower prevision of f, and whose upper bound is called the upper prevision of f:[3]

E_[f]=minμK(X)fdμ=minμext[K(X)]fdμ

where μ denotes a probability measure, and with a similar expression for E[f] (just replace min by max in the above expression).

If X is a categorical variable, then the credal set K(X) can be considered as a set of probability mass functions over X.[4] If additionally K(X) is also closed and convex, then the lower prevision of a function f of X can be simply evaluated as:

E_[f]=minpext[K(X)]xf(x)p(x)

where p denotes a probability mass function. It is easy to see that a credal set over a Boolean variable X cannot have more than two extreme points (because the only closed convex sets in are closed intervals), while credal sets over variables X that can take three or more values can have any arbitrary number of extreme points.Template:Cn

See also

References

  1. Levi, Isaac (1980). The Enterprise of Knowledge. MIT Press, Cambridge, Massachusetts.
  2. Cozman, Fabio (1999). Theory of Sets of Probabilities (and related models) in a Nutshell Template:Webarchive.
  3. Template:Cite book
  4. Template:Cite book

Further reading

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