Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Welsh, Alan"'
Linear mixed models (LMMs), which typically assume normality for both the random effects and error terms, are a popular class of methods for analyzing longitudinal and clustered data. However, such models can be sensitive to outliers, and this can le
Externí odkaz:
http://arxiv.org/abs/2407.01883
Generalized Linear Mixed Models (GLMMs) are widely used for analysing clustered data. One well-established method of overcoming the integral in the marginal likelihood function for GLMMs is penalized quasi-likelihood (PQL) estimation, although to dat
Externí odkaz:
http://arxiv.org/abs/2405.01026
Restricted maximum likelihood (REML) estimation is a widely accepted and frequently used method for fitting linear mixed models, with its principal advantage being that it produces less biased estimates of the variance components. However, the concep
Externí odkaz:
http://arxiv.org/abs/2402.12719
Copula-based methods provide a flexible approach to build missing data imputation models of multivariate data of mixed types. However, the choice of copula function is an open question. We consider a Bayesian nonparametric approach by using an infini
Externí odkaz:
http://arxiv.org/abs/1910.05473
Publikováno v:
Journal of Statistical Planning and Inference (2020) 207, 10-26
We consider the confidence interval centered on a frequentist model averaged estimator that was proposed by Buckland, Burnham & Augustin (1997). In the context of a simple testbed situation involving two linear regression models, we derive exact expr
Externí odkaz:
http://arxiv.org/abs/1906.07933
We propose a copula based method to handle missing values in multivariate data of mixed types in multilevel data sets. Building upon the extended rank likelihood of \cite{hoff2007extending} and the multinomial probit model, our model is a latent vari
Externí odkaz:
http://arxiv.org/abs/1702.08148
Publikováno v:
The performance of model averaged tail area confidence intervals. Communications in Statistics - Theory and Methods (2017)
We consider the model averaged tail area (MATA) confidence interval proposed by Turek and Fletcher, CSDA, 2012, in the simple situation in which we average over two nested linear regression models. We prove that the MATA for any reasonable weight fun
Externí odkaz:
http://arxiv.org/abs/1512.02764
The mplot package provides an easy to use implementation of model stability and variable inclusion plots (M\"uller and Welsh 2010; Murray, Heritier, and M\"uller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and
Externí odkaz:
http://arxiv.org/abs/1509.07583
Akademický článek
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Publikováno v:
Technometrics, 2018 Feb 01. 60(1), 36-47.
Externí odkaz:
https://www.jstor.org/stable/44869015
