Search Results - subject:"Distributional regression"

The causal effects of retirement on mental health: Looking beyond the mean effects

Kolodziej, Ingo W.K.; García-Gómez, Pilar - 2017

average effects, but also use distributional regression to examine whether these effects are unequally distributed across the …

Persistent link: https://www.econbiz.de/10011587995

A primer on Bayesian distributional regression

Kneib, Thomas; Umlauf, Nikolaus - 2017

paper discusses how to select models in the Bayesian distributional regression setting, how to monitor convergence of the …

Persistent link: https://www.econbiz.de/10011869134

Estimation methods for non-homogeneous regression models: Minimum continuous ranked probability score vs. maximum likelihood

Gebetsberger, Manuel; Messner, Jakob W.; Mayr, Georg J.; … - 2017

Non-homogeneous regression models are widely used to statistically post-process numerical ensemble weather prediction models. Such regression models are capable of forecasting full probability distributions and correct for ensemble errors in the mean and variance. To estimate the corresponding...

Persistent link: https://www.econbiz.de/10011930735

A primer on Bayesian distributional regression

Kneib, Thomas; Umlauf, Nikolaus - 2017

paper discusses how to select models in the Bayesian distributional regression setting, how to monitor convergence of the …

Persistent link: https://www.econbiz.de/10011699413

Vulnerability to poverty revisited : flexible modeling and better predictive performance

Hohberg, Maike; Landau, Katja; Kneib, Thomas; Klasen, … - 2017

order to model income, we apply distributional regression relating potentially each parameter of the conditional income …-term panel data from Germany, we build both mean and distributional regression models with the established 0.5 probability cutoff … income regression model into the distributional regression framework does not improve predictions further but has the …

Persistent link: https://www.econbiz.de/10011743759

Estimation methods for non-homogeneous regression models : minimum continuous ranked probability score vs. maximum likelihood

Gebetsberger, Manuel; Messner, Jakob W.; Mayr, Georg. J.; … - 2017

Persistent link: https://www.econbiz.de/10011762435

The causal effects of retirement on mental health : looking beyond the mean effects

Kolodziej, Ingo; García Gómez, Pilar - 2017

average effects, but also use distributional regression to examine whether these effects are unequally distributed across the …

Persistent link: https://www.econbiz.de/10011586935

BAMLSS : Bayesian additive models for location, scale and shape (and beyond)

Umlauf, Nikolaus; Klein, Nadja; Zeileis, Achim - 2017

Bayesian analysis provides a convenient setting for the estimation of complex generalized additive regression models (GAMs). Since computational power has tremendously increased in the past decade it is now possible to tackle complicated inferential problems, e.g., with Markov chain Monte Carlo...

Persistent link: https://www.econbiz.de/10011613193

Ensemble post-processing of daily precipitation sums over complex terrain using censored high-resolution standardized anomalies

Stauffer, Reto; Messner, Jakob; Mayr, Georg J.; Umlauf, … - 2016

Probabilistic forecasts provided by numerical ensemble prediction systems have systematic errors and are typically underdispersive. This is especially true over complex topography with extensive terrain induced small-scale effects which cannot be resolved by the ensemble system. To alleviate...

Persistent link: https://www.econbiz.de/10011531598

Estimation of spatially correlated random scaling factors based on Markov random field priors

Razen, Alexander; Lang, Stefan; Santer, Judith - 2016

Carlo (MCMC) algorithms and is smoothly incorporated into the framework of distributional regression. We run a comprehensive …

Persistent link: https://www.econbiz.de/10011622779