On a fast, robust estimator of the mode: Comparisons to other robust estimators with applications
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Cited by:
- Giulio Bottazzi & Le Li & Angelo Secchi, 2019.
"Aggregate fluctuations and the distribution of firm growth rates,"
Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 635-656.
- Giulio Bottazzi & Le Li & Angelo Secchi, 2017. "Aggregate fluctuations and the distribution of firm growth rates," LEM Papers Series 2017/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Giulio Bottazzi & Le Li & Angelo Secchi, 2019. "Aggregate fluctuations and the distribution of firm growth rates," PSE-Ecole d'économie de Paris (Postprint) halshs-02301721, HAL.
- Giulio Bottazzi & Le Li & Angelo Secchi, 2019. "Aggregate fluctuations and the distribution of firm growth rates," Post-Print halshs-02301721, HAL.
- Hsu, Chih-Yuan & Wu, Tiee-Jian, 2013. "Efficient estimation of the mode of continuous multivariate data," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 148-159.
- Kirschstein, T. & Liebscher, S. & Porzio, G.C. & Ragozini, G., 2016. "Minimum volume peeling: A robust nonparametric estimator of the multivariate mode," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 456-468.
- Ruzankin, Pavel S. & Logachov, Artem V., 2020. "A fast mode estimator in multidimensional space," Statistics & Probability Letters, Elsevier, vol. 158(C).
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