a simple class of latent variable models, the structural measurement error models, to first tackle the problem. We … robustness is attained under the imposed latent-variable assumptions. Testing procedures are proposed as a numerical supplement … latent variable models called joint models. For this generalization we focus on joint models that link a primary response …

We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of … variable model can be combined with semiparametric latent variable models for mixed binary, ordinal and continuous indicator … technique, using a recent suggestion of Fr¨uhwirth-Schnatter and Wagner (2006). As an advantage, our Poisson indicator latent …

In this article we introduce a latent variable model (LVM) for mixed ordinal and continuous responses, where covariate … effects on the continuous latent variable are modelles through a flexible semiparametric predictor. We extend existing LVM …

to integrate data from different types of experiments. Thethird part concerns the development of latent variable models …

shows that the proposed latent variable approach still works well in a more complex model, but that a larger number of level …