A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data

@article{Iyengar2011APC,
  title={A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data},
  author={S. G. Iyengar and P. Varshney and T. Damarla},
  journal={IEEE Transactions on Signal Processing},
  year={2011},
  volume={59},
  pages={2308-2319}
}
  • S. G. Iyengar, P. Varshney, T. Damarla
  • Published 2011
  • Computer Science
  • IEEE Transactions on Signal Processing
  • We present a parametric framework for the joint processing of heterogeneous data, specifically for a binary classification problem. Processing such a data set is not straightforward as heterogeneous data may not be commensurate. In addition, the signals may also exhibit statistical dependence due to overlapping fields of view. We propose a copula-based solution to incorporate statistical dependence between disparate sources of information. The important problem of identifying the best copula… CONTINUE READING
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