Search Results for author: Manuel Carlan

Found 2 papers, 2 papers with code

Bayesian Discrete Conditional Transformation Models

1 code implementation17 May 2022 Manuel Carlan, Thomas Kneib

For count responses, the resulting transformation model is novel in the sense that it is a Bayesian fully parametric yet distribution-free approach that can additionally account for excess zeros with additive transformation function specifications.

Bayesian Conditional Transformation Models

1 code implementation20 Dec 2020 Manuel Carlan, Thomas Kneib, Nadja Klein

A simulation study demonstrates the competitiveness of our approach against its likelihood-based counterpart but also Bayesian additive models of location, scale and shape and Bayesian quantile regression.

Methodology

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