Exchangeable random variables: Difference between revisions

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This section distinguished fastidiously between the meaning of the capital X and that of the lower-case x UNTIL it came to this one line. Now it's consistent.
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If the distribution function <math>F_\mathbf{X}</math> is indexed by another parameter <math>\theta</math> then (with densities appropriately defined) we have:
 
:::::<math>p(p_{X_1,X_2,\ldots,X_n}(x_1,\ldots,x_n) = \int \prod_{i=1}^n p(p_{X_i}(x_i\mid\theta)\,dP(\theta).</math>
 
These equations show the joint distribution or density characterised as a mixture distribution based on the underlying limiting empirical distribution (or a parameter indexing this distribution).