activity
20222024
most citedHow is model-related uncertainty quantified and reported in different disciplines?

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2024

A sequential Monte Carlo algorithm for data assimilation problems in ecology

Kwaku Peprah Adjei, Rob Cooke, Nick Isaac +1

1. Temporal trends in species distributions are necessary for monitoring changes in biodiversity, which aids policymakers and conservationists in making informed decisions. Dynamic…

stat.AP2023

The Point Process Framework for Integrated Modelling of Biodiversity Data

Kwaku Peprah Adjei, Philip Mostert, Jorge Sicacha Parada +2

The quantity and types of biodiversity data being collected have increased in recent years. If we are to model and monitor biodiversity effectively, we need to respect how differen…

stat.AP2023

Modelling heterogeneity in the classification process in multi-species distribution models can improve predictive performance

Kwaku Peprah Adjei, Robert B. O'Hara, Wouter Koch +1

1. Species distribution models and maps from large-scale biodiversity data are necessary for conservation management. One current issue is that biodiversity data are prone to taxon…

stat.AP2022★ 1 cited

How is model-related uncertainty quantified and reported in different disciplines?

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen +40

How do we know how much we know? Quantifying uncertainty associated with our modelling work is the only way we can answer how much we know about any phenomenon. With quantitative s…

stat.AP2022

Accounting for Misclassification in Multispecies Distribution Models

Kwaku Peprah Adjei, Robert Bob O'Hara, Anders G. Finstad +1

1. Species identification errors may have severe implications for the inference of species distributions. Accounting for misclassification in species distributions is an important…