Abstract
We discuss several applications, to large deviations for smooth functions of Gaussian random vectors, of a covariance representation in Gauss space. The existence of this type of representation characterizes Gaussian measures. New representations for Bernoulli measures are also derived, recovering some known 'inequalities.
Original language | English (US) |
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Pages (from-to) | 439-451 |
Number of pages | 13 |
Journal | Bernoulli |
Volume | 7 |
Issue number | 3 |
DOIs | |
State | Published - 2001 |
Keywords
- Bernoulli sums
- Covariance identities
- Gaussian measures
- Large deviations