Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets
| Autor(en): | Stojanović, Olivera Siegmann, Bastian Jarmer, Thomas Pipa, Gordon Leugering, Johannes |
Stichwörter: | Feature selection; Bayesian probability; Inference; Pattern recognition (psychology); Data mining; Covariate; Hierarchical database model; Computer science; Interpretability; Statistical model; Machine learning; Bayesian inference; Artificial intelligence | Erscheinungsdatum: | 2021 | Herausgeber: | Cold Spring Harbor Laboratory | Journal: | bioRxiv | DOI: | https://doi.org/10.1101/2021.09.20.461084 | Rechte: | cc-by |
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geprüft am 29.04.2024
