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    A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements by Ankur Srivastava, Andrew J. Meade

    Published 2015-01-01
    “…SFA is presented as a tool capable of nonlinear statistical inference, uncertainty reduction by fusion of data with physical models of variable fidelity, and sequential experiment design. …”
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