On the asymptotic and approximate distributions of the product of an inverse wishart matrix and a gaussian vector
(2016) In Theory of Probability and Mathematical Statistics 93. p.103-112- Abstract
In this paper we study the distribution of the product of an inverse Wishart random matrix and a Gaussian random vector. We derive its asymptotic distribution as well as a formula for its approximate density function which is based on the Gaussian integral and the third order Taylor expansion. Furthermore, we compare the asymptotic and approximate density functions with the exact density obtained by Bodnar and Okhrin (2011). The results obtained in the paper are confirmed by the numerical study.
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- author
- Kotsiuba, Igor and Mazur, S. LU
- organization
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Asymptotic distribution, Integral approximation, Multivariate normal distribution, Wishart distribution
- in
- Theory of Probability and Mathematical Statistics
- volume
- 93
- pages
- 10 pages
- publisher
- American Mathematical Society (AMS)
- external identifiers
-
- scopus:85013681010
- ISSN
- 0094-9000
- DOI
- 10.1090/tpms/1004
- language
- English
- LU publication?
- yes
- id
- 4369f146-7639-448b-a61c-2e570f9ac870
- date added to LUP
- 2017-03-09 11:14:52
- date last changed
- 2022-01-30 18:47:11
@article{4369f146-7639-448b-a61c-2e570f9ac870, abstract = {{<p>In this paper we study the distribution of the product of an inverse Wishart random matrix and a Gaussian random vector. We derive its asymptotic distribution as well as a formula for its approximate density function which is based on the Gaussian integral and the third order Taylor expansion. Furthermore, we compare the asymptotic and approximate density functions with the exact density obtained by Bodnar and Okhrin (2011). The results obtained in the paper are confirmed by the numerical study.</p>}}, author = {{Kotsiuba, Igor and Mazur, S.}}, issn = {{0094-9000}}, keywords = {{Asymptotic distribution; Integral approximation; Multivariate normal distribution; Wishart distribution}}, language = {{eng}}, pages = {{103--112}}, publisher = {{American Mathematical Society (AMS)}}, series = {{Theory of Probability and Mathematical Statistics}}, title = {{On the asymptotic and approximate distributions of the product of an inverse wishart matrix and a gaussian vector}}, url = {{http://dx.doi.org/10.1090/tpms/1004}}, doi = {{10.1090/tpms/1004}}, volume = {{93}}, year = {{2016}}, }