Abstract Accurate quantification of uncertainty in neural network predictions remains a central challenge for scientific applications involving high‐dimensional, correlated data. While existing methods capture either aleatoric or epistemic uncertainty, few offer closed‐form, multidimensional distributions that preserve spatial correlation while ...
Harrison J. Goldwyn +4 more
wiley +1 more source
A copula-based multivariate flood frequency analysis under climate change effects. [PDF]
Khajehali M +4 more
europepmc +1 more source
Exploring marking methods for the predatory hoverfly Sphaerophoria rueppellii (Diptera: Syrphidae)
As important pollinators and predators of aphids, hoverflies play an important role in ecosystems. This study focuses on identifying the best marking technique for the model species Sphaerophoria rueppellii that can be used to track hoverfly feeding and oviposition sites, evaluating three methods: rubidium (RbCl), fluorescein, and fluorescent dusts ...
Michele Violi +4 more
wiley +1 more source
Foundational Aspects for Incorporating Dependencies in Copula-Based Bayesian Networks Using Structured Expert Judgments, Exemplified by the Ice Sheet-Sea Level Rise Elicitation. [PDF]
Kurowicka D, Aspinall W, Cooke R.
europepmc +1 more source
Data reconciliation in multi‐trait experiments with kinship ordination
Abstract A central aim in biology is understanding the heritability of traits and how trait interactions contribute to success in diverse environments. Experiments that record multiple traits from individuals of known pedigree or genetic relatedness in distinct environments are key to addressing this aim.
Justin J. Van Ee +11 more
wiley +1 more source
Cross-market volatility spillovers between China and the United States: A DCC-EGARCH-t-Copula framework with out-of-sample forecasting. [PDF]
Zeng J, Wu J.
europepmc +1 more source
Bayesian Decision Thresholds for Bushfire Warnings: Calibration and Robustness for Rare‐Event Risk
ABSTRACT Current bushfire warning systems communicate the probability of a warning given danger, but residents require the probability of danger given a warning. This misalignment, combined with the extreme rarity of catastrophic fires, often leads to the dangerous ‘wait and see’ behaviour.
Miodrag Lovric, Ojas Davé
wiley +1 more source
A multiagent reinforcement learning algorithm for personalized recommendations in bipolar disorder. [PDF]
Lin S +3 more
europepmc +1 more source
Simultaneously Modelling Occurrence and Quantity of Multivariate Semicontinuous Data
ABSTRACT Joint models have been developed recently for multivariate semicontinuous data; however, joint modelling implies structured covariance and nonnegative correlation among responses, and thus is inflexible in accommodating complex covariance structures in practice.
Xingde Duan, Renjun Ma
wiley +1 more source

