Abstract:
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In this paper, we present a computational algorithm for performing mixture modeling and robust, structured regression using the L2E method, a minimum distance estimator. Previous implementations for the method were limited to fitting only a handful of parameters. We introduce an iterative majorization framework for extending the L2E method proposed in Scott (2001, 2009) to handling high-dimensional models. We demonstrate our algorithm on simulated and real data examples.
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