Results 61 to 70 of about 48,320 (262)
Misperception of Body Weight After Childhood Cancer
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle +8 more
wiley +1 more source
A more robust definition of multiple priors [PDF]
This paper provides a multiple-priors representation of ambiguous beliefs à la Ghirardato, Maccheroni, and Marinacci (2004) and Nehring (2002) for any preference that is (i) monotonic, (ii) Bernoullian, i.e.
Marciano Siniscalchi, Paolo Ghirardato
core
The Best Choice Problem under Ambiguity [PDF]
Chudjakow T, Riedel F. The Best Choice Problem under Ambiguity. Working Papers. Institute of Mathematical Economics. Vol 413. Bielefeld: Universität Bielefeld; 2009.We model and solve Best Choice Problems in the multiple prior framework: An ambiguity ...
Chudjakow, Tatjana +2 more
core +1 more source
Understanding the role of hypertension in stroke outcomes using Bayesian analysis
A comorbid hypertension was previously associated with survival advantages in patients with stroke. We aimed to explore how strong priors for the hypertension covariate affect the reverse association, as a way to test the sensitivity of reverse ...
Ruslan Akhmedullin +13 more
doaj +1 more source
For direction-of-arrival (DOA) estimation problems in a sparse domain, sparse Bayesian learning (SBL) is highly favored by researchers owing to its excellent estimation performance.
Ninghui Li +3 more
doaj +1 more source
Background Multiple treatment comparison (MTC) meta-analyses are commonly modeled in a Bayesian framework, and weakly informative priors are typically preferred to mirror familiar data driven frequentist approaches.
Thorlund Kristian +2 more
doaj +1 more source
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger +8 more
wiley +1 more source
Adaptive, cautious, predictive control with Gaussian process priors [PDF]
Nonparametric Gaussian Process models, a Bayesian statistics approach, are used to implement a nonlinear adaptive control law. Predictions, including propagation of the state uncertainty are made over a k-step horizon.
Sbarbaro, D. +13 more
core +1 more source
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source
Updating preferences with multiple priors [PDF]
We propose and axiomatically characterize dynamically consistent update rules for decision making under ambiguity. These rules apply to the preferences with multiple priors of Gilboa and Schmeidler (1989), and are the first, for any model of preferences ...
Hanany, Eran, Klibanoff, Peter
core +1 more source

