VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

Bibliographic Details
Main Authors: Daniel Hernandez-Stumpfhauser, F. Jay Breidt, Jean D. Opsomer
Format: Article
Language:English
Published: Exeley Inc. 2016-03-01
Series:Statistics in Transition
Subjects:
deviance information criterion
Laplace approximation
model selection
projected normal distribution
Online Access:https://www.exeley.com/exeley/journals/statistics_in_transition/17/1/pdf/10.21307_stattrans-2016-007.pdf
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spelling doaj-5d70f8bb4bbd465299e114b21a2b24e82020-11-24T23:55:37ZengExeley Inc.Statistics in Transition1234-76552450-02912016-03-0117110.21307/stattrans-2016-007VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATIONDaniel Hernandez-Stumpfhauser0F. Jay Breidt1Jean D. Opsomer2University of North CarolinaÔÇôChapel Hill.Colorado State University.Colorado State University.https://www.exeley.com/exeley/journals/statistics_in_transition/17/1/pdf/10.21307_stattrans-2016-007.pdfdeviance information criterionLaplace approximationmodel selectionprojected normal distribution
collection DOAJ
language English
format Article
sources DOAJ
author Daniel Hernandez-Stumpfhauser
F. Jay Breidt
Jean D. Opsomer
spellingShingle Daniel Hernandez-Stumpfhauser
F. Jay Breidt
Jean D. Opsomer
VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION
Statistics in Transition
deviance information criterion
Laplace approximation
model selection
projected normal distribution
author_facet Daniel Hernandez-Stumpfhauser
F. Jay Breidt
Jean D. Opsomer
author_sort Daniel Hernandez-Stumpfhauser
title VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION
title_short VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION
title_full VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION
title_fullStr VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION
title_full_unstemmed VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION
title_sort variational approximations for selecting hierarchical models of circular data in a small area estimation application
publisher Exeley Inc.
series Statistics in Transition
issn 1234-7655
2450-0291
publishDate 2016-03-01
topic deviance information criterion
Laplace approximation
model selection
projected normal distribution
url https://www.exeley.com/exeley/journals/statistics_in_transition/17/1/pdf/10.21307_stattrans-2016-007.pdf
work_keys_str_mv AT danielhernandezstumpfhauser variationalapproximationsforselectinghierarchicalmodelsofcirculardatainasmallareaestimationapplication
AT fjaybreidt variationalapproximationsforselectinghierarchicalmodelsofcirculardatainasmallareaestimationapplication
AT jeandopsomer variationalapproximationsforselectinghierarchicalmodelsofcirculardatainasmallareaestimationapplication
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