A convex/log-concave correlation inequality for Gaussian measure and an application to abstract Wiener spaces

By Gilles Hargé. 2004

62 citations recorded by the source corpus.

Subfields: Applied Mathematics, Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ba0da91ef82880615d859d1d9e3ddd97aab8b429

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. Bin Yu
2. Adrien Saumard
3. Jon A. Wellner
4. Martin J. Wainwright
5. Yuansi Chen
6. Raaz Dwivedi
7. Cun-Hui Zhang
8. Nicolai Meinshausen

In Finance

1. Adrien Saumard
2. Bin Yu
3. Jon A. Wellner
4. Martin J. Wainwright
5. Yuansi Chen
6. Raaz Dwivedi
7. Richard J. Samworth
8. Ryan Martin

In Statistics and Probability

1. Martin J. Wainwright
2. Bin Yu
3. Kengo Kato
4. Victor Chernozhukov
5. Tong Zhang
6. Sara A. van de Geer
7. Peter Buhlmann
8. Cun-Hui Zhang

Citations in the corpus

• Log-concave sampling: Metropolis-Hastings algorithms are fast! (2018, methodology): “In order to prove this claim, we make use of a result due to Hargé (2004) (Theorem 1.”
• Log-Concavity and Strong Log-Concavity: a review (2014, background): “First Hargé (2004).”