Results 211 to 220 of about 1,704,441 (287)

Federated learning for fair autism spectrum disorder screening across age-heterogeneous populations. [PDF]

Front Digit Health
Rekik S, Mehmood S, Berriche L.
europepmc   +1 more source

What exploitation is

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, Peter Hans Matthews, David Ronayne, Roberto Veneziani   +3 more
wiley   +1 more source

A new adaptive federated learning approach for privacy preserving UAV anomaly detection under non-IID distributions. [PDF]

Sci Rep
Bithi M, Masud ME, Hossain MA.
europepmc   +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

Skin disease diagnostics through federated transfer learning on heterogeneous data. [PDF]

Sci Rep
Sharma S, Mittal R, Goyal N, Goyal SB, Verma C.   +4 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, Milica Miočević, Carl F. Falk   +2 more
wiley   +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

Low resource federated learning for classification of nail disease by deploying cross-silo and heterogeneously dataset distributions. [PDF]

Sci Rep
Khullar V, Abbas M, Kansal I, Ksibi A, Gupta G, Gupta D, Juneja S, Nauman A.   +7 more
europepmc   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

Detection and genetic characterization of the GP60 Gene of Cryptosporidium parvum isolated from HIV⁺/AIDS patients - Kurdistan Province, Northwest Iran: predominance of subtype IId. [PDF]

Gut Pathog
Bahrami F, Sherifi E, Khademerfan M, Abdoli A.   +3 more
europepmc   +1 more source