Author

B. Siegmann

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Ecology· 1

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Approach:Bayesian inference· 1

Frequent Co-Authors

G. Pipa· 1 shared J. Leugering· 1 shared O. Stojanovic· 1 shared T. Jarmer· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperEcology

G. Pipa

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1 paper

Recent·Most cited

Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets

O. Stojanovic, B. Siegmann, T. Jarmer, G. Pipa, J. Leugering

This paper uses Bayesian hierarchical models to predict leaf area index from heterogeneous remote sensing data, finding that hierarchical structures improve robustness and interpretability.

bioRxiv · Sep 20, 2021Ecology