Approximation of Free Convolutions by Free Infinitely Divisible Laws
Chistyakov G, Götze F (2022)
Theory of Probability and its Applications 66(4): 640-667.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Einrichtung
Abstract / Bemerkung
Based on the method of subordinating functions we prove bounds for the minimal error of approximations of n-fold convolutions of probability measures by free infinitely divisible probability measures.
Stichworte
free random variables;
Cauchy transforms;
free convolutions;
limit;
theorems
Erscheinungsjahr
2022
Zeitschriftentitel
Theory of Probability and its Applications
Band
66
Ausgabe
4
Seite(n)
640-667
ISSN
0040-585X
eISSN
1095-7219
Page URI
https://pub.uni-bielefeld.de/record/2961326
Zitieren
Chistyakov G, Götze F. Approximation of Free Convolutions by Free Infinitely Divisible Laws. Theory of Probability and its Applications . 2022;66(4):640-667.
Chistyakov, G., & Götze, F. (2022). Approximation of Free Convolutions by Free Infinitely Divisible Laws. Theory of Probability and its Applications , 66(4), 640-667. https://doi.org/10.1137/S0040585X97T990666
Chistyakov, Gennadiy, and Götze, Friedrich. 2022. “Approximation of Free Convolutions by Free Infinitely Divisible Laws”. Theory of Probability and its Applications 66 (4): 640-667.
Chistyakov, G., and Götze, F. (2022). Approximation of Free Convolutions by Free Infinitely Divisible Laws. Theory of Probability and its Applications 66, 640-667.
Chistyakov, G., & Götze, F., 2022. Approximation of Free Convolutions by Free Infinitely Divisible Laws. Theory of Probability and its Applications , 66(4), p 640-667.
G. Chistyakov and F. Götze, “Approximation of Free Convolutions by Free Infinitely Divisible Laws”, Theory of Probability and its Applications , vol. 66, 2022, pp. 640-667.
Chistyakov, G., Götze, F.: Approximation of Free Convolutions by Free Infinitely Divisible Laws. Theory of Probability and its Applications . 66, 640-667 (2022).
Chistyakov, Gennadiy, and Götze, Friedrich. “Approximation of Free Convolutions by Free Infinitely Divisible Laws”. Theory of Probability and its Applications 66.4 (2022): 640-667.
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