STATISTICAL INFERENCE FOR MEAN FUNCTIONS OF COMPLEX 3D OBJECTS. [PDF]
Wang Y +4 more
europepmc +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Assessing uncertainty: A study of entropy measures for Burr XII distribution under progressive Type-II censoring. [PDF]
Helu A, Samawi H.
europepmc +1 more source
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source
Representative Random Sampling of Chemical Space. [PDF]
Monterrubio-Chanca DJ, von Rudorff GF.
europepmc +1 more source
Quantifying driving ensemble influence on operational convection‐permitting ensemble spread
By comparing statistics of precipitation patterns between a convection‐permitting ensemble and the global ensemble used to drive it, we investigate the conditions under which the convection‐permitting ensemble diverges from the evolution of the driving ensemble.
Adam Gainford +4 more
wiley +1 more source
Understanding the impacts of extreme weather on biological control through traveling wave analysis of a prey-predator model. [PDF]
Aktar MS +4 more
europepmc +1 more source
Covariate-Adjusted Group Sequential Comparisons of Survival Probabilities. [PDF]
Zhang P, Logan B, Martens MJ.
europepmc +1 more source
An Augmented Likelihood Approach Incorporating Error-Prone Auxiliary Data Into a Survival Analysis. [PDF]
Hyun N, Boe L, Shaw PA.
europepmc +1 more source

