bneR: A collaborative workflow for air pollution exposure modeling and uncertainty characterization using the Bayesian Nonparametric Ensemble. [PDF]
J Environ ManageBenavides J +11 more
europepmc +1 more source
Is the World Getting Smaller? Network‐Driven Heterogeneity in Gravity‐Model Elasticities
The World Economy, EarlyView.ABSTRACT Gravity models constitute the workhorse of empirical international trade research, yet the temporal stability of their core parameters—distance and GDP elasticities—remains underexplored, particularly in relation to the evolving structure of trade networks.
Zsolt T. Kosztyán +2 more
wiley +1 more source
Fecal degradation and nutrient loss of manure from cattle offered four bermudagrass cultivars
Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.Abstract Bermudagrass (Cynodon spp.) is one of the most common warm‐season perennial grasses utilized in the southeastern United States for pasture or stored forage. However, there is a paucity of data evaluating the fecal nutrient losses overtime by cattle grazing different bermudagrass cultivars.
Justin C. Burt +4 more
wiley +1 more source
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. [PDF]
BiostatisticsRoy S, Daniels MJ, Roy J.
europepmc +1 more source
Scalable Bayesian Nonparametric Clustering and Classification. [PDF]
J Comput Graph Stat, 2020 Ni Y +5 more
europepmc +1 more source
A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience
Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.A generalized framework for quantifying multi‐hazard interactions is developed and applied across four European regions. The framework captures regional hazard dependencies and joint probabilities, with methods tailored to different temporal scales. Results indicate increasing multi‐hazard event frequency under future climate scenarios, highlighting ...
Mohammed Sarfaraz Gani Adnan +13 more
wiley +1 more source
Modeling neuroaffective biomarkers of drug addiction: A Bayesian nonparametric approach using dirichlet process mixtures. [PDF]
J Neurosci Methods, 2020 Kypriotakis G +2 more
europepmc +1 more source
Optimal Experimental Design for Fast and Accurate Relaxation Time Measurements in Magnetic Resonance
Magnetic Resonance in Chemistry, Volume 64, Issue 12, Page 1001-1012, December 2026.We apply D‐optimal experimental design to relaxation constant estimation in NMR relaxometry. The resulting sampling schedules concentrate measurements where the signal is most sensitive to the relaxation constant. Compared with conventional linear or logarithmic spacing, D‐optimal designs achieve better estimation accuracy and precision with fewer ...
Natalie E. Klein +4 more
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract In this study, we introduce two complementary R packages: exploreHTP and flexFitR. exploreHTP is a Shiny‐based graphical interface for extracting plot‐level data from remote‐sensing imagery, while flexFitR provides tools for nonlinear model‐fitting and trait derivation from time series.
Johan Steven Aparicio +2 more
wiley +1 more source
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models. [PDF]
J Am Stat AssocWang Y +3 more
europepmc +1 more source