Intensity measure

Measure derived from a random measure From Wikipedia, the free encyclopedia

In probability theory, an intensity measure is a measure that is derived from a random measure. The intensity measure is a non-random measure and is defined as the expectation value of the random measure of a set, hence it corresponds to the average volume the random measure assigns to a set. The intensity measure contains important information about the properties of the random measure. A Poisson point process, interpreted as a random measure, is for example uniquely determined by its intensity measure. [1]

Definition

Summarize
Perspective

Let be a random measure on the measurable space and denote the expected value of a random element with .

The intensity measure

of is defined as

for all .[2] [3]

Note the difference in notation between the expectation value of a random element , denoted by and the intensity measure of the random measure , denoted by .

Properties

The intensity measure is always s-finite and satisfies

for every positive measurable function on .[3]

References

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