Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability,Analysis
Reference24 articles.
1. Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Petrov, B.N., Cźaki, P. (eds.) Second Internat. Symp. on Information Theory. pp.267–281. Budapest: Akademiai Kiadó 1973
2. Bowman, A.W.: A comparative study of some kernel-based nonparametric density estimators. J. Stat. Comput. Simulation21, 313–327 (1985)
3. Chow, Y.S., Geman, S., Wu, L.-D.: Consistent cross-validated density estimation. Ann. Stat.11, 25–38 (1983)
4. Duin, R.P.W.: On the choice of smoothing parameters for Parzen estimators of probability density functions. IEEE Trans. Comput. C25, 1175–1179 (1976)
5. Freedman, D., Diaconis, P.: On the histogram as a density estimator:L
2 theory. Z. Wahrscheinlichkeitstheor. Verw. Geb.57, 453–476 (1981)
Cited by
34 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献