Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy PC Bürkner, M Scholz, ST Radev Statistic Surveys 17, 216-310, 2023 | 24 | 2023 |
Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models M Scholz, PC Bürkner Journal of Statistical Computation and Simulation, 1-24, 2025 | 7 | 2025 |
An empirical study of Linespots: A novel past‐fault algorithm M Scholz, R Torkar Software Testing, Verification and Reliability 31 (8), e1787, 2021 | 7 | 2021 |
Some models are useful, but how do we know which ones PC Bürkner, M Scholz, S Radev Towards a unified Bayesian model taxonomy, 2022 | 4 | 2022 |
Posterior accuracy and calibration under misspecification in Bayesian generalized linear models M Scholz, PC Bürkner arXiv preprint arXiv:2311.09081, 2023 | 3 | 2023 |
Generative Bayesian Modeling with Implicit Priors L Fazio, M Scholz, PC Bürkner arXiv preprint arXiv:2408.06504, 2024 | | 2024 |
An Analysis of Linespots and its Utility in Realistic Scenarios M Scholz Chalmers University of Technology, 2019 | | 2019 |
A Line Based Approach for Bugspots M Scholz | | 2016 |