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My bibliography Save this articleData-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints
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DOI: 10.1016/j.csda.2017.10.005
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- Filippone, Maurizio & Sanguinetti, Guido, 2011. "Approximate inference of the bandwidth in multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3104-3122, December.
- Zougab, Nabil & Adjabi, Smail & Kokonendji, Célestin C., 2014. "Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 28-38.
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Keywords
Kernel density estimation; Optimal bandwidth; Nonparametric representation; Data-driven sampling;All these keywords.
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