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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...
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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...
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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...
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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...
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04/15/2021
On the Assessment of Benchmark Suites for Algorithm Comparison
Benchmark suites, i.e. a collection of benchmark functions, are widely u...
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01/27/2021
Bayesian Paired-Comparison with the bpcs Package
This article introduces the bpcs R package (Bayesian Paired Comparison i...
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10/08/2020
Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
Frequentist statistical methods, such as hypothesis testing, are standar...
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10/09/2019