LLM‐based prior elicitation for Bayesian graphical modeling
British Journal of Mathematical and Statistical Psychology, EarlyView.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
Generating Accurate Activity Patterns for Cattle Farm Management Using MCMC Simulation of Multiple-Sensor Data System. [PDF]
Sensors (Basel)Hashimoto Y +4 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
Microstructure.jl: A Julia package for probabilistic microstructure model fitting with diffusion MRI. [PDF]
Imaging Neurosci (Camb)Gong T, Yendiki A.
europepmc +1 more source
Untangling nutrient co‐regulation of ombrotrophic peatland development
Boreas, EarlyView.Multi‐method (FTIR, FT‐NIR and TGA) approaches characterizing the organic peat constituents at Holcroft Moss reveal a record of switches that reflect broadly hydroclimate variability governing the decomposition patterns. There are periods, however, where hydroclimate does not fully explain the variability observed and instead changes appear linked to ...
Richard C. Chiverrell +6 more
wiley +1 more source
Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models. [PDF]
IEEE Trans Med ImagingDjebra Y +9 more
europepmc +1 more source
British Journal of Pharmacology, EarlyView.Background and Purpose Network meta‐analysis (NMA) enables the simultaneous comparison of multiple treatments by combining direct and indirect evidence across a network of studies. While its application is rapidly expanding in pharmacological research and clinical guideline development, performing NMA typically requires advanced statistical knowledge ...
János Tibor Fekete +2 more
wiley +1 more source
Bayesian statistics: a primer for perioperative medicine clinicians. [PDF]
Perioper Med (Lond)Mazzinari G +5 more
europepmc +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
Computer Graphics Forum, EarlyView.The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
How do price spillovers between natural gas and copper-aluminum markets differ in international vs. Chinese contexts? [PDF]
PLoS OneWang L, Lu Q, Chen T, Xiao B.
europepmc +1 more source