138 citations · 532 across the 35 of their papers we have counts for
5 papers · 1 filter
Using the Softplus Function to Construct Alternative Link Functions in Generalized Linear Models and Beyond
Paul F. V. Wiemann, Thomas Kneib, Julien Hambuckers
Response functions linking regression predictors to properties of the response distribution are fundamental components in many statistical models. However, the choice of these func…
Probabilistic Time Series Forecasts with Autoregressive Transformation Models
David Rügamer, Philipp F. M. Baumann, Thomas Kneib +1
Probabilistic forecasting of time series is an important matter in many applications and research fields. In order to draw conclusions from a probabilistic forecast, we must ensure…
A multivariate Gaussian random field prior against spatial confounding
Isa Marques, Thomas Kneib, Nadja Klein
Spatial models are used in a variety research areas, such as environmental sciences, epidemiology, or physics. A common phenomenon in many spatial regression models is spatial conf…
Flexible Bayesian Modeling of Counts: Constructing Penalized Complexity Priors
Mahsa Nadifar, Hossein Baghishani, Thomas Kneib +1
Many of the data, particularly in medicine and disease mapping are count. Indeed, the under or overdispersion problem in count data distrusts the performance of the classical Poiss…
Adaptive shrinkage of smooth functional effects towards a predefined functional subspace
Paul Wiemann, Thomas Kneib
In this paper, we propose a new horseshoe-type prior hierarchy for adaptively shrinking spline-based functional effects towards a predefined vector space of parametric functions. I…