Title:
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Gaussian approximation of Gaussian scale mixtures (English) |
Author:
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Letac, Gérard |
Author:
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Massam, Hélène |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 (print) |
ISSN:
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1805-949X (online) |
Volume:
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56 |
Issue:
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6 |
Year:
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2020 |
Pages:
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1063-1080 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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For a given positive random variable $V>0$ and a given $Z\sim N(0,1)$ independent of $V$, we compute the scalar $t_0$ such that the distance in the $L^2(\mathbb{R})$ sense between $Z V^{1/2}$ and $Z\sqrt{t_0}$ is minimal. We also consider the same problem in several dimensions when $V$ is a random positive definite matrix. (English) |
Keyword:
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mormal approximation |
Keyword:
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Gaussian scale mixture |
Keyword:
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Plancherel theorem |
MSC:
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62H10 |
MSC:
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62H17 |
idMR:
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MR4199903 |
DOI:
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10.14736/kyb-2020-6-1063 |
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Date available:
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2021-01-08T08:33:26Z |
Last updated:
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2021-03-29 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/148499 |
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Reference:
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Reference:
|
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Reference:
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[3] Hardy, G. H., Wright, E. M.: An Introduction to the Theory of Numbers. Sixth edition..Oxford University Press, London 2008. MR 2445243, 10.1017/s0025557200007464 |
Reference:
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[4] Kolmogorov, A. N.: Sulla determinazióne empirica di una légge di distribuzióne..G. Inst. Ital. Attuari 4 (1933), 83-91. |
Reference:
|
[5] Letac, G., Massam, H., Mohammadi, R.: The ratio of normalizing constants for Bayesian Gaussian model selection..arXiv 1706. 04416 (2017), revision Oct. 12th 2018. |
Reference:
|
[6] Monahan, J. F., Stefanski, L. A.: Normal Scale Mixture Approximations to $F^*(z)$ and Computation of the Logistic-Normal Integral..Handbook of the Logistic Distribution (N. Balakrishnan, ed.), Marcel Dekker, New York 1992. MR 1093420 |
Reference:
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[7] Palmer, J. A., Kreutz-Delgado, K., Maleig, S.: Dependency models based on generalized Gaussian scale mixtures..DRAFT UCSD-SCCN v1.0, Sept 7 (2011). |
Reference:
|
[8] Stefanski, L. A.: A normal scale mixture representation of the logistic distribution..Stat. Probab. Lett- 11 (1991), 69-70. MR 1093420, 10.1016/0167-7152(91)90181-p |
Reference:
|
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