Weak law of large numbers for stationary graph processes

@article{Gama2017WeakLO,
  title={Weak law of large numbers for stationary graph processes},
  author={Fernando Gama and Alejandro R. Ribeiro},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={4124-4128}
}
The ability to obtain accurate estimators from a set of measurements is a key factor in science and engineering. Typically, there is an inherent assumption that the measurements were taken in a sequential order, be it in space or time. However, data is increasingly irregular so this assumption of sequentially obtained measurements no longer holds. By leveraging notions of graph signal processing to account for these irregular domains, we propose an unbiased estimator for the mean of a wide… CONTINUE READING

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