Highly Robust Estimation of the Autocovariance Function
By Yanyuan Ma, Marc G. Genton. 2000
125 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/55b3a29da9f3810f3727ba081e5e82dc9903f659
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Adelchi Azzalini
- André Lucas
- P. L. Davies
- Ursula Gather
- C. L'evy-Leduc
- Stéphane Robin
- É. Lebarbier
- S. Chakar
In Statistics and Probability
- Marc G. Genton
- Adelchi Azzalini
- Reinaldo Boris Arellano-Valle
- Stéphane Robin
- É. Lebarbier
- S. Chakar
- Ursula Gather
- P. L. Davies
Citations in the corpus
- Breakdown and groups (2005, methodology): “…and Ruppert (1992)), time series (Martin and Jong (1977), Papantoni-Kazakos (1984), Tatum and Hurvich (1993), Lucas (1997), Mendes (2000), Ma and Genton (2000)), radial data (He and Simpson (1992)) and more general situations as in Sakata and White (1995) and He and Simpson (1993), the latter…”
- Robust Likelihood Methods Based on the Skew‐t and Related Distributions (2008, methodology): “They have been analyzed already by Künsch (1984) and Ma & Genton (2000) in the context of robust time series analysis.”
- A robust approach for estimating change-points in the mean of an AR(1) process (2014, methodology): “More precisely, the approach of [26] would result in the following estimate of ρ :”
- Comprehensive definitions of breakdown points for independent and dependent observations (2003, methodology): “Similar conclusions are valid for the sample autocovariance function, see Ma and Genton (2000).”