Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Phishing threat mitigation in E-commerce using a quantum-enhanced hybrid AI framework. [PDF]
Gupta BB +7 more
europepmc +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
A general framework for modeling pathogen transmission in co-roosting host communities. [PDF]
Simonis MC, Becker DJ.
europepmc +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening. [PDF]
Chilukuri R +3 more
europepmc +1 more source
Charting Water‐in‐Natural‐Salt (WiNS) Electrolytes. Part I: Effect of Anion's Alkyl Tail Length
At 20 m, potassium carboxylates from formate to butyrate reveal anion tail‐controlled nanostructure. SAXS shows a pre‐peak shifting to lower q with chain length. Molecular dynamics reproduces S(q) and attributes it to concentration fluctuations forming bicontinuous segregation.
Alessandra Del Giudice +7 more
wiley +1 more source
Discovering neural elastoplasticity from kinematic observations. [PDF]
Gavris GB, Sun W.
europepmc +1 more source
Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley +1 more source
Density-dependent feedback and higher-order interactions enable coexistence in phage-bacteria community dynamics. [PDF]
Dey R +11 more
europepmc +1 more source

