We observe that the density of the Kummer distribution satisfies a certain differential equation, leading to a Stein characterization of this distribution and to a solution of the related Stein equation. A bound is derived for the solution and for its first and second derivatives. To provide a bound for the solution we partly use the same framework as in Gaunt 2017 [Stein, ESAIM: PS 21 (2017) 303–316] in the case of the generalized inverse Gaussian distribution, which we revisit by correcting a minor error. We also bound the first and second derivatives of the Stein equation in the latter case.
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DOI : 10.1051/ps/2020009
Keywords: Generalized inverse Gaussian distribution, Kummer distribution, Stein characterization
@article{PS_2020__24_1_607_0,
author = {Konzou, Essomanda and Koudou, Angelo Efoevi},
title = {About the {Stein} equation for the generalized inverse {Gaussian} and {Kummer} distributions},
journal = {ESAIM: Probability and Statistics},
pages = {607--626},
year = {2020},
publisher = {EDP Sciences},
volume = {24},
doi = {10.1051/ps/2020009},
mrnumber = {4170177},
zbl = {1455.60040},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ps/2020009/}
}
TY - JOUR AU - Konzou, Essomanda AU - Koudou, Angelo Efoevi TI - About the Stein equation for the generalized inverse Gaussian and Kummer distributions JO - ESAIM: Probability and Statistics PY - 2020 SP - 607 EP - 626 VL - 24 PB - EDP Sciences UR - https://www.numdam.org/articles/10.1051/ps/2020009/ DO - 10.1051/ps/2020009 LA - en ID - PS_2020__24_1_607_0 ER -
%0 Journal Article %A Konzou, Essomanda %A Koudou, Angelo Efoevi %T About the Stein equation for the generalized inverse Gaussian and Kummer distributions %J ESAIM: Probability and Statistics %D 2020 %P 607-626 %V 24 %I EDP Sciences %U https://www.numdam.org/articles/10.1051/ps/2020009/ %R 10.1051/ps/2020009 %G en %F PS_2020__24_1_607_0
Konzou, Essomanda; Koudou, Angelo Efoevi. About the Stein equation for the generalized inverse Gaussian and Kummer distributions. ESAIM: Probability and Statistics, Tome 24 (2020), pp. 607-626. doi: 10.1051/ps/2020009
[1] , and , Normal approximation by Stein’s method. Probability and its Applications Heidelberg (2011). | MR | Zbl
[2] , A Stein characterization of the generalized hyperbolic distribution. ESAIM: PS 21 (2017) 303–316. | MR | Zbl | Numdam | DOI
[3] , and , Chi-square approximation by Stein’s method with application to Pearson’s statistic. Ann. Appl. Probab. 27 (2017) 720–756. | MR | Zbl | DOI
[4] and , Stein’s method for the Beta distribution and the Pòlya-Eggenberger urn. Adv. Appl. Probab. 50 (2013) 1187–1205. | MR | Zbl | DOI
[5] and , On Kummer’s distribution of type two and a generalized beta distribution. Statist. Prob. Lett. 118 (2016) 60–69. | MR | Zbl | DOI
[6] and , Independence properties of the Matsumoto-Yor type. Bernoulli 18 (2012) 119–136. | MR | Zbl | DOI
[7] and , Characterizations of GIG laws: a survey complemented with two new results. Probab. Surv. 11 (2014) 161–176. | MR | Zbl | DOI
[8] and , A characterization of the generalized inverse Gaussian distribution by continued fractions. Z. Wahr. verw. Geb. 62 (1983) 485–489. | MR | Zbl | DOI
[9] and , Stein’s density approach and information inequalities. Electron. Comm. Probab. 18 (2013) 1–14. | MR | Zbl
[10] and , Change of measure technique in characterizations of the gamma and Kummer distributions. J. Math. Anal. Appl. 458 (2018) 967–979. | MR | Zbl | DOI
[11] , Fundamentals of Stein’s method. Probab. Surv. 8 (2011) 210–293. | MR | Zbl | DOI
[12] , Orthogonal polynomials in steins method. J. Math. Anal. Appl. 253 (2001) 515–531. | MR | Zbl | DOI
[13] and , Identifying the limiting distribution by a general approach of Stein’s method. Sci. China Math. 59 (2016) 2379–2392. | MR | Zbl | DOI
[14] , A bound for the error in the normal approximation to the distribution of a sum of dependent random variables, in Vol. 2 of Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability. University of California Press, Berkeley (1972) 583–602. | MR | Zbl
[15] , , and , Use of exchangeable pairs in the analysis of simulations, in Stein’s method: expository lectures and applications, edited by and . Vol. 46 of IMS Lecture Notes Monogr. Ser. Institute of Mathematical Statistics Beachwood, Ohio, USA (2004) 1–26. | MR
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