Remarks on deviation inequalities for functions of infinitely divisible random vectors

By C. Houdr'e. 2002

69 citations recorded by the source corpus.

Subfields: Applied Mathematics, Management Science and Operations Research, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/df406d7272098c07dc3113065c9c739dcf362f7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Günter Last
2. Mathew D. Penrose
3. Nicolas Privault
4. Patricia Reynaud-Bouret
5. C. Houdr'e
6. Matthias Schulte
7. Giovanni Peccati
8. Joseph E. Yukich

In Management Science and Operations Research

1. Günter Last
2. Nicolas Privault
3. Patricia Reynaud-Bouret
4. Mathew D. Penrose
5. C. Houdr'e
6. Matthias Schulte
7. José E. Figueroa-López
8. Giovanni Peccati

In Numerical Analysis

1. Nicolas Privault
2. Patricia Reynaud-Bouret
3. Mathew D. Penrose
4. Günter Last
5. C. Houdr'e

Citations in the corpus

• Adaptive estimation of the intensity of inhomogeneous Poisson processes via concentration inequalities (2003, result): “Very general results about concentration inequalities for infinitely divisible vectors were also proved by C. Houdr´ e [ 21 ].”
• Concentration and deviation inequalities in infinite dimensions via covariance representations (2002, methodology): “In particular, it was used in the Gaussian or more generally infinitely divisible cases in [4], [13].”
• Poisson process Fock space representation, chaos expansion and covariance inequalities (2009, background): “The version for infinitely divisible random vectors can be found in [5] and [13].”