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Multivariate Conditional Transformation Models
[article]
2020
arXiv
pre-print
Regression models describing the joint distribution of multivariate response variables conditional on covariate information have become an important aspect of contemporary regression analysis. However, a limitation of such models is that they often rely on rather simplistic assumptions, e.g. a constant dependency structure that is not allowed to vary with the covariates or the restriction to linear dependence between the responses only. We propose a general framework for multivariate
arXiv:1906.03151v3
fatcat:7nq3lakekrd3ld3jwh7gv5gjaq