# 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={Satish G. Iyengar and Pramod K. Varshney and Thyagaraju R. Damarla}, journal={IEEE Transactions on Signal Processing}, year={2011}, volume={59}, pages={2308-2319} }

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…

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