In this paper, we propose a generic Bayesian framework for inference in distributional regression models in which each parameter of a potentially complex response distribution and not only the mean is related to a structured additive predictor. The latter is composed additively of a variety of...

In this paper, we propose a unified Bayesian approach for multivariate structured additive distributional regression analysis where inference is applicable to a huge class of multivariate response distributions, comprising continuous, discrete and latent models, and where each parameter of these...

The auction design literature makes clear that theoretically equivalent mechanisms can perform very differently in practice. Though of equal importance, much less is known about the empirical performance of theoretically equivalent mechanisms for belief elicitation. This is especially...

Many recommendation and decision processes depend on eliciting evaluations of opportunities, products, and vendors. A scoring system is devised that induces honest reporting of feedback. Each rater merely reports a signal, and the system applies proper scoring rules to the implied posterior...

A scoring rule is a reward function for eliciting or evaluating forecasts expressed as discrete or continuous probability distributions. A rule is strictly proper if it encourages the forecaster to state his true subjective probabilities, and effective if it is associated with a metric on the...

Studies show that people tend to provide overly narrow confidence intervals for unknown values. Such a form of overconfidence would have an important impact on financial markets, among other domains, leading i.a. to excessive trading. The present study is one of the very few that try to...