research
∙
07/01/2022
Bayesian causal inference in automotive software engineering and online evaluation
Randomised field experiments, such as A/B testing, have long been the go...
share
research
∙
04/19/2022
On the Use of Causal Graphical Models for Designing Experiments in the Automotive Domain
Randomized field experiments are the gold standard for evaluating the im...
research
∙
09/26/2021
Bayesian propensity score matching in automotive embedded software engineering
Randomised field experiments, such as A/B testing, have long been the go...
research
∙
07/06/2021
Size matters? Or not: A/B testing with limited sample in automotive embedded software
A/B testing is gaining attention in the automotive sector as a promising...
research
∙
04/15/2021
On the Assessment of Benchmark Suites for Algorithm Comparison
Benchmark suites, i.e. a collection of benchmark functions, are widely u...
research
∙
01/27/2021
Bayesian Paired-Comparison with the bpcs Package
This article introduces the bpcs R package (Bayesian Paired Comparison i...
research
∙
10/08/2020
Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
Frequentist statistical methods, such as hypothesis testing, are standar...
research
∙
10/09/2019
