A Bayesian global Fréchet regression method is introduced via a Fréchet Bayes rule that reduces the problem to scalar tasks, allows prior-data interpolation, and remains valid under moment conditions using weak conditional expectations.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
The statistical method used to predict AMOC collapse timing from historical sea-surface temperatures is highly sensitive to unaccounted uncertainties and does not reliably constrain the collapse time.
citing papers explorer
-
Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
The statistical method used to predict AMOC collapse timing from historical sea-surface temperatures is highly sensitive to unaccounted uncertainties and does not reliably constrain the collapse time.