Spatial signatures of group cohesion
Methods in Ecology and Evolution, EarlyView.Abstract Wildlife populations are undergoing unprecedented changes to their spatial distributions as a result of human activities. Innovative approaches are needed to document these changes, especially in cases where sampling is sparse. Here, we contribute to the tools available in spatial ecology by developing novel metrics based on the coefficient of
Nicola E. Love, Sarah P. Otto
wiley +1 more source
Enhancing pandemic surveillance and testing: a simulation modeling study utilizing german multicenter data with federated machine learning. [PDF]
Health Care Manag SciKempter S +8 more
europepmc +1 more source
Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying
American Journal of Political Science, EarlyView.Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard +2 more
wiley +1 more source
Federated Privacy-Preserving Multi-Modal Deep Learning for Breast Cancer Diagnosis: A Physics-Aware Approach. [PDF]
Diagnostics (Basel)Al-Karawi ALS +2 more
europepmc +1 more source
American Journal of Political Science, EarlyView.Abstract We experimentally elicit views of what exploitation is from over 2,000 subjects. Our experimental design does not test existing theories of exploitation. Rather, it focuses on more fundamental properties that are the building blocks for these theories.
Benjamin Ferguson +3 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Privacy-Preserving Hybrid GA-LSTM Ensemble for Typhoid Detection Using Optimised Clinical Feature Selection. [PDF]
BiomedicinesGasmi K +6 more
europepmc +1 more source
Power priors for latent variable mediation models under small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
A new adaptive federated learning approach for privacy preserving UAV anomaly detection under non-IID distributions. [PDF]
Sci RepBithi M, Masud ME, Hossain MA.
europepmc +1 more source
Asymptotic standard errors for reliability coefficients in item response theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley +1 more source