2 papers
stat.ME2021
Improving Adaptive Seamless Designs through Bayesian optimization
Jakob Richter, Tim Friede, Jörg Rahnenführer
We propose to use Bayesian optimization (BO) to improve the efficiency of the design selection process in clinical trials. BO is a method to optimize expensive black-box functions,…
stat.ML2018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa +2
Machine-learning algorithms have gained popularity in recent years in the field of ecological modeling due to their promising results in predictive performance of classification pr…