A Statistical Framework for Modelling Biodiversity Data
Doctoral thesis
Permanent lenke
https://hdl.handle.net/11250/3153065Utgivelsesdato
2024Metadata
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Paper 1: Adjei, Kwaku P.; Sicacha-Parada, Jorge; Steinsland, Ingelin; O'Hara, Robert B. A structural model for the process of collecting biodiversity data. Available at: https://doi.org/10.22541/au.169843047.75301732/v1Paper 2: Adjei, Kwaku P.; Mostert, Philip; Sicacha-Parada, Jorge; Skarstein, Emma; O'Hara, Robert B. The Point Process Framework for Integrated Modelling of Biodiversity Data. Available at: https://doi.org/10.48550/arXiv.2311.06755
Paper 3: Adjei, Kwaku P.; Cooke, Rob; Isaac, Nick; O'Hara, Robert B. A sequential Monte Carlo algorithm for data assimilation problems in ecology. Available at: https://doi.org/10.48550/arXiv.2401.06515
Paper 4: Adjei, Kwaku P.; O'Hara, Robert B. Using NIMBLE to implement Markov Chain Monte Carlo with Integrated Nested Laplace approximation. Manuscript.
Paper 5: Adjei, Kwaku Peprah; Finstad, Anders Gravbrøt; Koch, Wouter; O'Hara, Robert Brian. Modelling heterogeneity in the classification process in multi-species distribution models can improve predictive performance. Ecology and Evolution 2024 ;Volum 14.(3). Wiley. Open Access CC BY. Available at: https://doi.org/10.1002/ece3.11092
Paper 6: Adjei, Kwaku Peprah; Carvell, Claire; Isaac, Nick J. B.; Mancini, Francesca; O'Hara, Robert Brian. Integrating data from different taxonomic resolutions to better estimate community alpha diversity. Ecography 2024. Wiley, Open Access CC BY. Available at: https://doi.org/10.1111/ecog.07182
Paper 7: Adjei, Kwaku Peprah; Mostert, Philip; Sicacha-Parada, Jorge; Steinsland, Ingelin; O'Hara, Robert B. Modelling species distribution using data from different sources and quality while accounting for uneven sampling effort, imperfect detection and misclassification. Manuscript.