Epidemiology and genomics of azithromycin-resistant extensively drug-resistant <i>Salmonella enterica</i> serovar Typhimurium in Taiwan. [PDF]
Hong Y-P +8 more
europepmc +1 more source
On Integral Priors for Multiple Comparison in Bayesian Model Selection
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón +2 more
wiley +1 more source
Evolutionary history and transmission dynamics of dengue virus type 2 in Africa. [PDF]
Bello MB +4 more
europepmc +1 more source
The Random Power Function for Tests Based on Pivotal Quantities
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
Federated learning for critical electrical infrastructure-handling data heterogeneity for predictive maintenance of substation equipment. [PDF]
Ghosh S, Mittal G.
europepmc +1 more source
Linking the Comparison and Graphical Approaches to Bipartite Matching
Summary Bipartite record linkage has the goal of identifying observations referring to the same individual, called coreferent observations, across two distinct non‐duplicated datasets. The two main approaches to solve this task are the Fellegi–Sunter model, which relies on pairwise comparisons of observations, and the graphical record linkage model ...
Edoardo Redivo
wiley +1 more source
DynamicFU: Contribution-Aware Dynamic Federated Unlearning for Industrial IoT. [PDF]
Wu Z, He B, Si Z, Liao X, Su C.
europepmc +1 more source
Goodness‐of‐Fit Tests for Positive Quadrant Dependence
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley +1 more source
A Federated Approach for Adaptive Urban Sound Classification on TinyML Edge Devices. [PDF]
Trigkas A, Piromalis D, Papageorgas P.
europepmc +1 more source
A Multi-Modal Expert-Driven ISAC Framework with Hierarchical Federated Learning for 6G Network. [PDF]
Mukhiddinov B, He D, Yu W, Truong TK.
europepmc +1 more source

