Results 21 to 30 of about 48,320 (262)

Prospective multi-centre Voxel Based Morphometry study employing scanner specific segmentations: Procedure development using CaliBrain structural MRI data

BMC Medical Imaging, 2009
Background Structural Magnetic Resonance Imaging (sMRI) of the brain is employed in the assessment of a wide range of neuropsychiatric disorders. In order to improve statistical power in such studies it is desirable to pool scanning resources from ...
Waiter Gordon D, Whalley Heather C, Lymer G Katherine S, Romaniuk Liana, McIntosh Andrew M, Job Dominic E, Gountouna Viktoria-Eleni, Moorhead T William J, Brennan David, Ahearn Trevor S, Cavanagh Jonathan, Condon Barrie, Steele J Douglas, Wardlaw Joanna M, Lawrie Stephen M   +14 more
doaj   +1 more source

The Importance of Prior Sensitivity Analysis in Bayesian Statistics: Demonstrations Using an Interactive Shiny App

Frontiers in Psychology, 2020
The current paper highlights a new, interactive Shiny App that can be used to aid in understanding and teaching the important task of conducting a prior sensitivity analysis when implementing Bayesian estimation methods.
Sarah Depaoli, Sonja D. Winter, Marieke Visser   +2 more
doaj   +1 more source

Inpainting larger missing regions via progressive guidance decoding network

Complex & Intelligent Systems, 2023
For images corrupted for various reasons, the size of the corrupted area is often arbitrary and it has been a challenge to inpainting the larger missing areas.
Xiucheng Dong, Jinyang Jiang, Shuang Hou, Chencheng Yang   +3 more
doaj   +1 more source

Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]

, 2010
We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo, Steel, Mark F. J., Steel, Mark F.J.   +2 more
core   +1 more source

Bayesian Model Averaging With Fixed and Flexible Priors: Theory, Concepts, and Calibration Experiments for Rainfall‐Runoff Modeling

Journal of Advances in Modeling Earth Systems, 2020
This paper introduces for the first time the concept of Bayesian model averaging (BMA) with multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model proposed by Raftery et al.
S. Samadi, M. Pourreza‐Bilondi, C. A. M. E. Wilson, D. B. Hitchcock   +3 more
doaj   +1 more source

An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors

IEEE Access, 2018
The PARAllel FACtor (PARAFAC) decomposition is known as one of the most commonly used tools in tensor signal/data processing. Unfortunately, its classical algorithms barely take the potential statistical and/or deterministic prior information of the ...
Ming Shi, Dan Li, Jian Qiu Zhang
doaj   +1 more source

A hierarchical spike-and-slab model for pan-cancer survival using pan-omic data

BMC Bioinformatics, 2022
Background Pan-omics, pan-cancer analysis has advanced our understanding of the molecular heterogeneity of cancer. However, such analyses have been limited in their ability to use information from multiple sources of data (e.g., omics platforms) and ...
Sarah Samorodnitsky, Katherine A. Hoadley, Eric F. Lock   +2 more
doaj   +1 more source

Health‐Related Social Needs in Children With Sickle Cell Disease Are Associated With Worse Health‐Related Quality of Life

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks, Molly Sonenklar, Cerelia Donald, Cecelia Valrie, Wally Smith, India Sisler   +5 more
wiley   +1 more source

Body-part specificity for learning of multiple prior distributions in human coincidence timing

npj Science of Learning
During timing tasks, the brain learns the statistical distribution of target intervals and integrates this prior knowledge with sensory inputs to optimise task performance.
Yoshiki Matsumura, Neil W. Roach, James Heron, Makoto Miyazaki   +3 more
doaj   +1 more source

Genomic Diversity and Clinical Variability in Pediatric Primary Cutaneous Anaplastic Large Cell Lymphoma: A Case Series

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger, Efrat Bar‐Ilan, Victoria Marcu, Evgeny Grishin, Rinat Yacobi, Aviv Barzilai, Hana Golan, Assaf Arie Barg   +7 more
wiley   +1 more source