Results 121 to 130 of about 964,661 (301)
Imprecise probabilities in finance and economics
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A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source
ABSTRACT Objective Epidemiological evidence on muscle dysmorphia (MD) remains limited, and self‐report algorithm‐defined estimates may depend on sampling and case definitions. We examined how algorithm‐defined MD estimates and exploratory correlates varied across weighting and case‐definition scenarios in a gender‐balanced German online sample.
Christopher Zaiser +4 more
wiley +1 more source
Pediatric epilepsy surgery: Global survey of invasive explorations
Abstract Objective Invasive presurgical evaluation plays a key role in pediatric epilepsy surgery, particularly in magnetic resonance imaging (MRI)‐negative cases, by guiding resective, disconnective, or ablative procedures. This International League Against Epilepsy (ILAE) Pediatric Epilepsy Surgery Taskforce study provides an updated global overview ...
Georgia Ramantani +96 more
wiley +1 more source
Objective Bayesian calibration and the problem of non-convex evidence [PDF]
Jon Williamson's Objective Bayesian Epistemology relies upon a calibration norm to constrain credal probability by both quantitative and qualitative evidence.
Wheeler, Gregory
core
Property Elicitation on Imprecise Probabilities
Property elicitation studies which attributes of a probability distribution can be determined by minimizing a risk. We investigate a generalization of property elicitation to imprecise probabilities (IP). This investigation is motivated by distributionally robust optimization and multi-distribution learning.
James Bailie, Rabanus Derr
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Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Abstract Background Acquired indirect inguinal hernia represents a life‐threatening emergency. Therapeutic decision‐making largely depends on intestinal viability, for which specific predictive parameters (such as venous lactate) have not been evaluated.
Raquel Rivero‐García +8 more
wiley +1 more source
Imprecise Beliefs in a Principal Agent Model [PDF]
This paper presents a principal-agent model where the agent has multiple, or imprecise, beliefs. We model this situation formally by assuming the agent's preferences are incomplete.
Rigotti, L.
core
Abstract Background CEPEF4 provides the most comprehensive contemporary dataset on perianaesthetic risk in horses. Intraoperative complications, monitoring and American Society of Anesthesiologists (ASA)‐stratified associations with death remain incompletely described.
J. I. Redondo +5 more
wiley +1 more source

