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The generalized additive model is a well established and strong
tool that allows to model smooth effects of predictors on the
response. However, if the link function, which is typically chosen
as the canonical link, is misspecified, substantial bias...
In this paper, individual differences scaling (INDSCAL) is
revisited, considering INDSCAL as being embedded within a hierarchy
of individual difference scaling models. We explore the members of
this family, distinguishing (i) models, (ii) the role of...
We discuss two-sample global permutation tests for sets of
multivariate ordinal data in possibly high-dimensional setups,
motivated by the analysis of data collected by means of the World
Health Organisation's International Classification of Function...
01.02.2013
In linear mixed models, the assumption of normally distributed
random effects is often inappropriate and unnecessarily
restrictive. The proposed approximate Dirichlet process mixture
assumes a hierarchical Gaussian mixture that is based on the
trunca...
Variable selection has been suggested for Random Forests to improve
their efficiency of data prediction and interpretation. However,
its basic element, i.e. variable importance measures, can not be
computed straightforward when there is missing data....
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