Results 61 to 70 of about 48,320 (262)

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
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]

open access: yes
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]

open access: yes, 2009
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

open access: yesScientific Reports
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

Direction-of-Arrival Estimation via Sparse Bayesian Learning Exploiting Hierarchical Priors with Low Complexity

open access: yesSensors
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

Modelling heterogeneity variances in multiple treatment comparison meta-analysis ��� Are informative priors the better solution?

open access: yesBMC Medical Research Methodology, 2013
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

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

open access: yesPediatric Blood &Cancer, EarlyView.
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]

open access: yes, 2003
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

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

open access: yesPediatric Blood &Cancer, EarlyView.
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]

open access: yes
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

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