Bounds for the uniform deviation of empirical measures
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Cited by:
- Ryan Cumings-Menon, 2022. "Differentially Private Estimation via Statistical Depth," Papers 2207.12602, arXiv.org.
- Bartlett, Peter & Lugosi, Gábor, 1999.
"An inequality for uniform deviations of sample averages from their means,"
Statistics & Probability Letters, Elsevier, vol. 44(1), pages 55-62, August.
- Peter Bartlett & Gábor Lugosi, 1998. "An inequality for uniform deviations of sample averages from their means," Economics Working Papers 280, Department of Economics and Business, Universitat Pompeu Fabra.
- Pal, Soumik, 2007. "Computing strategies for achieving acceptability: A Monte Carlo approach," Stochastic Processes and their Applications, Elsevier, vol. 117(11), pages 1587-1605, November.
- Levon Demirdjian & Majid Mojirsheibani, 2019. "Kernel classification with missing data and the choice of smoothing parameters," Statistical Papers, Springer, vol. 60(5), pages 1487-1513, October.
- Xu, Jianjun & Tan, Xianming & Zhang, Runchu, 2010. "A note on Phillips (1991): "A constrained maximum likelihood approach to estimating switching regressions"," Journal of Econometrics, Elsevier, vol. 154(1), pages 35-41, January.
- Luc Devroye & Gábor Lugosi & Frederic Udina, 1998. "Inequalities for a new data-based method for selecting nonparametric density estimates," Economics Working Papers 281, Department of Economics and Business, Universitat Pompeu Fabra.
- Lugosi, Gábor, 1995. "Improved upper bounds for probabilities of uniform deviations," Statistics & Probability Letters, Elsevier, vol. 25(1), pages 71-77, October.
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Keywords
Random vector empirical measure probability inequality uniform consistency;Statistics
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