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Robust Estimates in Generalized Partially Linear Single-Index Models
(Springer, 2012-06)
A natural generalization of the well known generalized linear models is to allow only for some of the predictors to be modeled linearly while others are modeled nonparametrically. However, this model can face the so called ...
A tractable Bayesian joint model for longitudinal and survival data
(John Wiley and Sons Ltd, 2021)
© 2021 John Wiley & Sons Ltd.We introduce a numerically tractable formulation of Bayesian joint models for longitudinal and survival data. The longitudinal process is modeled using generalized linear mixed models, while ...
On Wald Residuals in Generalized Linear Models
(TAYLOR & FRANCIS INCPHILADELPHIA, 2012)
A rigorous asymptotic theory for Wald residuals in generalized linear models is not yet available. The authors provide matrix formulae of order O(n(-1)), where n is the sample size, for the first two moments of these ...
Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data
(Crop Science Society of America, 2020)
Transformed symmetric models
(SAGE PUBLICATIONS LTD, 2011)
For the first time, we introduce a class of transformed symmetric models to extend the Box and Cox models to more general symmetric models. The new class of models includes all symmetric continuous distributions with a ...
Likelihood-based inference for linear mixed-effects models using the generalized hyperbolic distribution
(John Wiley and Sons Inc, 2023)
In this paper, we develop statistical methodology for the analysis of data under nonnormal distributions, in the context of mixed effects models. Although the multivariate normal distribution is useful in many cases, it ...