research
∙
05/02/2023
Increasing trust in new data sources: crowdsourcing image classification for ecology
Crowdsourcing methods facilitate the production of scientific informatio...
share
research
∙
11/18/2022
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Building on a strong foundation of philosophy, theory, methods and compu...
research
∙
05/05/2021
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
Relative abundance is a common metric to estimate the composition of spe...
research
∙
06/01/2020
Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective
Many research domains use data elicited from "citizen scientists" when a...
research
∙
08/15/2018