• Corpus ID: 7629247

MAGIC: Exact Bayesian Covariance Estimation and Signal Reconstruction for Gaussian Random Fields

@article{Wandelt2004MAGICEB,
  title={MAGIC: Exact Bayesian Covariance Estimation and Signal Reconstruction for Gaussian Random Fields},
  author={Benjamin D. Wandelt},
  journal={arXiv: Astrophysics},
  year={2004}
}
  • B. Wandelt
  • Published 30 January 2004
  • Physics
  • arXiv: Astrophysics
In this talk I describe MAGIC [1], an efficient approach to covariance estimation and signal reconstruction for Gaussian random fields (MAGIC Allows Global Inference of Covariance). It solves a long-standing problem in the field of cosmic microwave background (CMB) data analysis but is in fact a general technique that can be applied to noisy, contaminated and incomplete or censored measurements of either spatial or temporal Gaussian random fields. In this talk I will phrase the method in a way… 
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