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Defining Predictive Probability Functions for Species Sampling Models

Müller, Samuel; Scealy, J. L.; Welsh, A. H.

Description

Linear mixed effects models are highly flexible in handling a broad range of data types and are therefore widely used in applications. A key part in the analysis of data is model selection, which often aims to choose a parsimonious model with other desirable properties from a possibly very large set of candidate statistical models. Over the last 5–10 years the literature on model selection in linear mixed models has grown extremely rapidly. The problem is much more complicated than in...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
URI: http://hdl.handle.net/1885/17018
Source: Statistical Science
DOI: 10.1214/12-STS410

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