Results 81 to 90 of about 4,099,878 (253)
Default Priors and Predictive Performance in Bayesian Model Averaging, with Application to Growth Determinants [PDF]
Economic growth has been a showcase of model uncertainty, given the many competing theories and candidate regressors that have been proposed to explain growth.
Chris Papageogiou +2 more
core
ABSTRACT Instruction Tenapanor potentially affects fluid volume and blood pressure. This study explored its effects on these parameters in patients undergoing peritoneal dialysis (PD). Methods We conducted a single‐arm, prospective observational study that enrolled 10 patients on PD with hyperphosphatemia who were newly initiated on tenapanor.
Shun Yoshida +11 more
wiley +1 more source
Mixtures of g-priors for bayesian model averaging with economic applications [PDF]
We examine the issue of variable selection in linear regression have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the Model Averaging presents uncertainty.
Eduardo Ley, Mark F.J. Steel
core
Reference Tracts and Generative Models for Brain White Matter Tractography
Background: Probabilistic neighborhood tractography aims to automatically segment brain white matter tracts from diffusion magnetic resonance imaging (dMRI) data in different individuals. It uses reference tracts as priors for the shape and length of the
Susana Muñoz Maniega +4 more
doaj +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Hellinger distance and non-informative priors
This paper introduces an extension of the Jeffreys’ rule to the construction of objective priors for non-regular parametric families. A new class of priors based on Hellinger information is introduced as Hellinger priors.
Shemyakin, Arkady
core +1 more source
Recent Advancements in Hyperspectral Image Reconstruction from a Compressive Measurement
Hyperspectral (HS) image reconstruction has become a pivotal research area in computational imaging, facilitating the recovery of high-resolution spectral information from compressive snapshot measurements.
Xian-Hua Han, Jian Wang, Huiyan Jiang
doaj +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Mixtures of g-priors for Bayesian Model Averaging with economic application [PDF]
This paper examines the issue of variable selection in linear regression modeling, where there is a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the appropriate subset. In this context,
Ley, Eduardo, Steel, Mark F.J.
core
Regularization by neural style transfer for MRI field-transfer reconstruction with limited data
Recent advances in MRI reconstruction have demonstrated remarkable success through deep learning-based models. However, most existing methods rely heavily on large-scale, task-specific datasets, making reconstruction in data-limited settings a critical ...
Guoyao Shen +17 more
doaj +1 more source

