Importance of covariance components in inversion analyses of densely sampled observed data: an application to waveform data inversion for seismic source processes

By Y. Yagi, Y. Fukahata. 2008

61 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics

View Paper: https://www.semanticscholar.org/paper/2a99e988dda995469acc210d4d7c0a17d6373c06

How researchers see this paper

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

In Artificial Intelligence

1. Peiliang Xu
2. Jing-nan Liu
3. Jun Wang
4. Yanming Feng

In Geophysics

1. Peiliang Xu

Citations in the corpus

• Iterative generalized cross-validation for fusing heteroscedastic data of inverse ill-posed problems (2009, background): “The importance of correlation among the same type of data in geophysical inversion was demonstrated by Yagi & Fukahata (2008).”