2 papers
stat.ME2025
Uncertainty calibration for latent-variable regression models
Zina-Sabrina Duma, Otto Lamminpää, Jouni Susiluoto +6
Uncertainty quantification is essential for scientific analysis, as it allows for the evaluation and interpretation of variability and reliability in complex systems and datasets.…
stat.AP2025
A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence
Manju Johny, Jonathan Hobbs, Vineet Yadav +4
Solar-induced chlorophyll fluorescence (SIF) has emerged as an effective indicator of vegetation productivity and plant health. The global quantification of SIF and its associated…