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Monte Carlo (MCMC) algorithms. We investigate the statistical properties of our approach within extensive simulation …
Persistent link: https://www.econbiz.de/10011549047
The Basel II framework strictly defines the conditions under which financial institutions are authorized to accept real estate as collateral in order to decrease their credit risk. A widely used concept for its valuation is the hedonic approach. It assumes, that a property can be characterized...
Persistent link: https://www.econbiz.de/10010354740
Persistent link: https://www.econbiz.de/10012120654
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
Carlo (MCMC) algorithms and is smoothly incorporated into the framework of distributional regression. We run a comprehensive …
Persistent link: https://www.econbiz.de/10011578941
, which is estimated by Markov chain Monte Carlo (MCMC) simulation. Gradient boosting with stability selection serves as a …
Persistent link: https://www.econbiz.de/10011762424
boosting selects influential terms. Markov chain Monte Carlo (MCMC) simulation estimates the final model to provide credible … inference of effects, scores and predictions. The selection of terms and MCMC simulation are applied for data of the year 2016 …
Persistent link: https://www.econbiz.de/10011875788
Regression analyses of cross-country economic growth data are complicated by two main forms of model uncertainty: the uncertainty in selecting explanatory variables and the uncertainty in specifying the functional form of the regression function. Most discussions in the literature address these...
Persistent link: https://www.econbiz.de/10011382708
Persistent link: https://www.econbiz.de/10010366171
This paper discusses random intercept selection within the context of semiparametric regression models with structured additive predictor (STAR). STAR models can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster-specific heterogeneity, spatial heterogeneity...
Persistent link: https://www.econbiz.de/10010470914