Browsing Wirtschaftswissenschaftliche Fakultät by Referee "Bergherr, Elisabeth Prof. Dr."
Now showing items 1-3 of 3
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Estimating and evaluating mixed and semiparametric models with statistical and deep learning methods
(2023-09-11)Semiparametric models are well-established, versatile and effective statistical models for analysing complex data by combining both parametric and non-parametric components and are used in a wide range of applications and ... -
Semi-Parametric Distributional Regression in Forestry and Ecology
(2023-08-10)Recent advances in machine learning software, such as automatic differentiation and just-in-time (JIT) compilation, have significantly changed machine learning research. They have accelerated model development and contributed ... -
Extending the Boosting Framework based on Bayesian Methodology
(2023-03-31)The boosting technique emerged from machine learning has become a widely used method to estimate statistical models. As one of the most successful variants, componentwise gradient boosting has been favored by more and more ...