Some maximal inequalities for quadratic forms of negative superadditive dependence random variables

By N. Eghbal, M. Amini, A. Bozorgnia. 2010

52 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Mathematical Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7a4795a42030932f9b73031fb0d3e011cdd739ca

How researchers see this paper

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

In Management Science and Operations Research

1. Aiting Shen
2. Shuhe Hu
3. Xuejun Wang
4. Zhiyong Chen
5. Andrei Volodin
6. Chen Xu

In Mathematical Physics

1. Aiting Shen
2. Shuhe Hu
3. Xuejun Wang

In Statistics and Probability

1. Aiting Shen
2. Shuhe Hu
3. Xuejun Wang
4. Zhiyong Chen
5. Chen Xu

Citations in the corpus

• Complete convergence for weighted sums of NSD random variables and its application in the EV regression model (2014, background): “Eghbal et al. (2010) derived two maximal inequalities and strong law of large numbers of quadratic forms of NSD random variables under the assumption that {Xi , i ≥ 1} is a sequence of nonnegative NSD random variables with E Xri < ∞ for all i ≥ 1 and some r > 1.”