Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35483
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Type: Journal article
Title: Asymptotic likelihood approximations using a partial Laplace approximation
Author: Taylor, J.
Verbyla, A.
Citation: Australian & New Zealand Journal of Statistics, 2006; 48(4):465-476
Publisher: Blackwell Publ Ltd
Issue Date: 2006
ISSN: 1369-1473
1467-842X
Abstract: Elimination of a nuisance variable is often non-trivial and may involve the evaluation of an intractable integral. One approach to evaluate these integrals is to use the Laplace approximation. This paper concentrates on a new approximation, called the partial Laplace approximation, that is useful when the integrand can be partitioned into two multiplicative disjoint functions. The technique is applied to the linear mixed model and shows that the approximate likelihood obtained can be partitioned to provide a conditional likelihood for the location parameters and a marginal likelihood for the scale parameters equivalent to restricted maximum likelihood (REML). Similarly, the partial Laplace approximation is applied to the t-distribution to obtain an approximate REML for the scale parameter. A simulation study reveals that, in comparison to maximum likelihood, the scale parameter estimates of the t-distribution obtained from the approximate REML show reduced bias.
RMID: 0020062229
DOI: 10.1111/j.1467-842X.2006.00451.x
Appears in Collections:Agriculture, Food and Wine publications

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