Publications

Paul-Christian Bürkner, Maximilian Scholz, Stefan T. Radev (2022). Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy. arxiv.

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Maximilian Scholz, Paul-Christian Bürkner (2022). Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models. arxiv.

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Maximilian Scholz, Richard Torkar (2021). An empirical study of Linespots: A novel past-fault algorithm. STVR.

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Maximilian Scholz (2019). An Analysis of Linespots and its Utility in Realistic Scenarios. Chalmers University of Technology.

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Maximilian Scholz (2016). A Line Based Approach for Bugspots. TUHH.

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