Time preferences drive decisions in many economic situations, such as investment contexts or salary negotiations. These situations are characterized by a very short time frame for decision making. Preferences are potentially susceptible to the confounding effects of time pressure, as proposed by...

Cognitive diagnosis models (CDMs) are an increasingly popular method to assess mastery or nonmastery of a set of fine-grained abilities in educational or psychological assessments. Several inference techniques are available to quantify the uncertainty of model parameter estimates, to compare...

In multinomial processing tree (MPT) models, individual differences between the participants in a study lead to heterogeneity of the model parameters. While subject covariates may explain these differences, it is often unknown in advance how the parameters depend on the available covariates,...

The term greed has become very popular in the public debate. It is regularly argued, for instance, that greed is one of the deep rooted reasons for the financial crisis, numerous incidents of fraud and growing inequalities in wealth. Despite its prominent role in the current debates, however,...

Raw ensemble forecasts display large errors in predicting precipitation amounts and its forecast uncertainty, especially in mountainous regions where local e.ects are often not captured. Therefore, statistical post-processing is typically applied to obtain automatically corrected weather...

Contests are meant to attract the best performers and incentivize high effort, however, they may also attract cheaters who try to win via illicit means which crowds out the best performers. We use a laboratory experiment to explore the role of self-selection in contests with a possibility of...

Distributional structured additive regression provides a flexible framework for modeling each parameter of a potentially complex response distribution in dependence of covariates. Structured additive predictors allow for an additive decomposition of covariate effects with nonlinear effects and...

Statistical post-processing of ensemble predictions is usually adjusted to a particular lead time so that several models must be fitted to forecast multiple lead times. To increase the coherence between lead times, we propose to use standardized anomalies instead of direct observations and...

Multiplicative random effects allow for cluster-specific scaling of covariate effects. In many applications with spatial clustering, however, the random effects additionally show some geographical pattern, which usually can not sufficiently be captured with existing estimation techniques....

The term greed has become very popular in the public debate. It is regularly argued, for instance, that greed is one of the deep rooted reasons for the financial crisis, numerous incidents of fraud and growing inequalities in wealth. Despite its prominent role in the current debates, however,...