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2013 | OriginalPaper | Buchkapitel

15. Ideal Metrics with Respect to Summation Scheme for i.i.d. Random Variables

verfasst von : Svetlozar T. Rachev, Lev B. Klebanov, Stoyan V. Stoyanov, Frank J. Fabozzi

Erschienen in: The Methods of Distances in the Theory of Probability and Statistics

Verlag: Springer New York

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Abstract

The subject of this chapter is the application of the theory of probability metrics to limit theorems arising from summing independent and identically distributed (i.i.d.) random variables (RVs).

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Fußnoten
1
See Barlow and Proschan [1975, Chap.​ 4] and Kalashnikov and Rachev [1988, Chap.​ 4] for the necessary definitions.
 
2
See, for example, Dunford and Schwartz [1988, Theorem IV.8.3.5].
 
3
See, for example, Erdös and Spencer [1974, p. 17].
 
4
See Sect. 2.5 in Chap.​ 2 and Sect. 3.3 in Chap.​ 3.
 
5
Recent publications on applications include Hein et al. [2004] and Sençimen and Pehlivan [2009].
 
6
See Zolotarev [1986, Chap.​ 1].
 
7
See Lemma 3.3.1, (3.4.18), and (3.3.13) in Chap.​ 3.
 
8
See Billingsley [1999].
 
9
See Kalashnikov and Rachev [1988, Chap.​ 3], Sect. 8.3, and further Lemma 18.2.1.
 
10
See Zolotarev [1986, Chap.​ 3] and Kalashnikov and Rachev [1988, Theorem 10.1.1].
 
11
See Kalashnikov and Rachev [1988, Sect. 3, Theorem 10.1].
 
12
See Corollary 5.5.1 and Theorem 6.2.1.
 
13
See Theorem 6.4.1 or Theorem 8.3.1 with \(c(x,y) = \vert x - y\vert \).
 
14
See, for example, Rachev and Rüschendorf [1992] for an application of ideal metrics in the multivariate CLT, Rachev and Rüschendorf [1994] for an application of the Kantorovich metric, Maejima and Rachev [1996] for rates of convergence in operator-stable limit theorems, and Klebanov et al. [1999] for rates of convergence in prelimit theorems.
 
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Zurück zum Zitat Dunford N, Schwartz J (1988) Linear operators, vol 1. Wiley, New York Dunford N, Schwartz J (1988) Linear operators, vol 1. Wiley, New York
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Zurück zum Zitat Hein M, Lal TN, Bousquet O (2004) Hilbertian metrics on probability measures and their application in SVMs’. In: Proceedings of the 26th DAGM symposium, pp 270–277 Hein M, Lal TN, Bousquet O (2004) Hilbertian metrics on probability measures and their application in SVMs’. In: Proceedings of the 26th DAGM symposium, pp 270–277
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Metadaten
Titel
Ideal Metrics with Respect to Summation Scheme for i.i.d. Random Variables
verfasst von
Svetlozar T. Rachev
Lev B. Klebanov
Stoyan V. Stoyanov
Frank J. Fabozzi
Copyright-Jahr
2013
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-4869-3_15