Results 201 to 210 of about 31,140,529 (283)

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

Byzantine robust federated learning for heterogeneous brain MRI using multisignal gradient fingerprinting and adaptive trust aggregation. [PDF]

Sci Rep
Karami M, Kebriaei H, Ghassemi F, Azadegan H.   +3 more
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

Adaptive federated learning with differential privacy for multi-class respiratory disease recognition from lung sound recordings. [PDF]

Front Digit Health
Haq SR, Lakshmanna K.
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

Federated Learning Based on Fuzzy Fusion Rules for Chemical Production Process Fault Diagnosis. [PDF]

Sensors (Basel)
Xu Y, Yang W, Du S, Zhang M.
europepmc   +1 more source

Calibrating Bayesian inference

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu, Jonathan P. Williams, Jan Hannig   +2 more
wiley   +1 more source

Uncertainty-aware federated temporal learning with explainable LLM-based coaching for privacy-preserving wearable health systems. [PDF]

Front Artif Intell
Chembakassery D, Nair HR, Prassanna J.
europepmc   +1 more source

Sensitivity analysis for unmeasured pretreatment confounders in causal mediation analysis with debiased machine learning

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Sensitivity analysis for unmeasured confounders is essential for assessing the robustness of causal mediation conclusions. Most existing methods rely on parametric assumptions, which are ill‐suited for machine learning‐based estimators that are not tied to specific parametric models.
Xiao Liu, Cameron McCann
wiley   +1 more source

Asynchronous proximal federated aggregation for heterogeneous healthcare networks. [PDF]

Front Digit Health
Sreelakshmi M, Delhibabu R.
europepmc   +1 more source