<ul><li>Researchers have proposed density estimation via mixture discrepancy and moments as alternative methods to the star discrepancy for generalizing histogram statistics to higher dimensional cases.</li><li>The density estimation via mixture discrepancy based sequential partition (DSP-mix) and density estimation via moments based sequential partition (MSP) are computationally tractable and exhibit reflection and rotation invariance.</li><li>Both DSP-mix and MSP run approximately ten times faster than density estimation via discrepancy based sequential partition (DSP) while maintaining the same accuracy.</li><li>Numerical experiments demonstrate the efficiency of DSP-mix and MSP in reconstructing the d-D mixture of Gaussians and Betas for various dimensions.</li></ul>

Density estimation via mixture discrepancy and moments

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