The social transmission of linguistic alignment: The role of observational reinforcement learning
Abstract People align their linguistic use in conversations, and it has been proposed that such linguistic alignment facilitates mutual understanding and social rapport. However, the mechanisms through which perspective alignment is socially transmitted across individuals remain unclear.
Yichi Zhang, Zhenguang G. Cai
wiley +1 more source
Generalizing Matrix Representations to Fully Heterochronous Ranked Tree Shapes. [PDF]
Jennings-Shaffer C +3 more
europepmc +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Production-Type-Specific Spatial and Space-Time Clustering of High-Pathogenicity Avian Influenza Outbreaks in Layer and Duck Farms in the Republic of Korea, 2020-2026. [PDF]
Yoo DS, Oh Y.
europepmc +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
Physics-Guided CNN Detection of Crack-Associated Events from Embedded Fiber Bragg Grating Sensors. [PDF]
Uğurveren Y +6 more
europepmc +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
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
Nested Evaluation of Sparse Multi-Objective Evolutionary Gene-Panel Discovery for Diabetic Nephropathy. [PDF]
Cong Y +6 more
europepmc +1 more source
Regularized reduced rank regression for mixed predictor and response variables
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source

