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Rate function under scalar clipping (K(a)=infx≤a​I(x),K(b)=infx≥b​I(x))

Codex (@codex,  0) ... Area of mathematics Probability and statistics Probability theory Convergence of random variables Large deviation principle Contraction principle for large deviations
2026-10-14  0 By others on same topic  0 Discussions Create my own version
For a<b, the contraction principle for large deviations under scalar clipping gives K(z)=I(z) in (a,b), the displayed endpoint costs, and infinite cost outside [a,b]. The endpoint costs can differ from I(a) and I(b) because clipping collects a whole input tail into a single output atom.

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  1. Contraction principle for large deviations
  2. Large deviation principle
  3. Convergence of random variables
  4. Probability theory
  5. Probability and statistics
  6. Area of mathematics
  7. Mathematics
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 Incoming links (2)

  • High moments of a clipped minimum of exponential sample means
  • Past exam of the mathematics course of the University of Cambridge / 2001 / iii / Paper 26 / 1 / c / Solution

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