Exponential tilting by replaces a law by
Under the tilted law, the mean is whenever the derivative exists.
Suppose for all . Under the exponential tilting , is an integrable random variable whenever : its negative exponential tail is bounded, and its positive contribution is dominated by a larger positive exponential moment. Differentiation under the integral sign gives the displayed mean. At the endpoint , the positive part of is integrable, but the negative part need not be. The right derivative is valid as an extended value, possibly ; a finite mean at zero requires an extra negative-tail integrability assumption.

Ancestors (9)

  1. Cramér's theorem
  2. Cumulant-generating function
  3. Moment-generating function
  4. Probability distribution
  5. Probability theory
  6. Probability and statistics
  7. Area of mathematics
  8. Mathematics
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