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Multimatricvariate distribution under elliptical models

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Date
2022
Author
Díaz-García J.A
Caro-Lopera F.J.

Citación

       
TY - GEN T1 - Multimatricvariate distribution under elliptical models Y1 - 2022 UR - http://hdl.handle.net/11407/7518 PB - Elsevier B.V. AB - A new family of matrix variate distributions indexed by elliptical models is proposed in this work. The termed multimatricvariate distributions emerge as a generalisation of the bimatrix variate distributions based on matrix variate Gamma distributions and independence. Some properties and special cases of the multimatricvariate distributions are also derived. Two new interesting Jacobians in the area are also provided. Finally, an application for time dependent data of DNA molecules is studied. © 2021 Elsevier B.V. ER - @misc{11407_7518, author = {}, title = {Multimatricvariate distribution under elliptical models}, year = {2022}, abstract = {A new family of matrix variate distributions indexed by elliptical models is proposed in this work. The termed multimatricvariate distributions emerge as a generalisation of the bimatrix variate distributions based on matrix variate Gamma distributions and independence. Some properties and special cases of the multimatricvariate distributions are also derived. Two new interesting Jacobians in the area are also provided. Finally, an application for time dependent data of DNA molecules is studied. © 2021 Elsevier B.V.}, url = {http://hdl.handle.net/11407/7518} }RT Generic T1 Multimatricvariate distribution under elliptical models YR 2022 LK http://hdl.handle.net/11407/7518 PB Elsevier B.V. AB A new family of matrix variate distributions indexed by elliptical models is proposed in this work. The termed multimatricvariate distributions emerge as a generalisation of the bimatrix variate distributions based on matrix variate Gamma distributions and independence. Some properties and special cases of the multimatricvariate distributions are also derived. Two new interesting Jacobians in the area are also provided. Finally, an application for time dependent data of DNA molecules is studied. © 2021 Elsevier B.V. OL Spanish (121)
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Abstract
A new family of matrix variate distributions indexed by elliptical models is proposed in this work. The termed multimatricvariate distributions emerge as a generalisation of the bimatrix variate distributions based on matrix variate Gamma distributions and independence. Some properties and special cases of the multimatricvariate distributions are also derived. Two new interesting Jacobians in the area are also provided. Finally, an application for time dependent data of DNA molecules is studied. © 2021 Elsevier B.V.
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http://hdl.handle.net/11407/7518
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