Results 101 to 110 of about 777,619 (319)
Improper Priors via Expectation Measures
StatsIn Bayesian statistics, the prior distributions play a key role in the inference, and there are procedures for finding prior distributions. An important problem is that these procedures often lead to improper prior distributions that cannot be normalized
Peter Harremoës
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Safe Approximations of Chance Constraints Using Historical Data [PDF]
This paper proposes a new way to construct uncertainty sets for robust optimization. Our approach uses the available historical data for the uncertain parameters and is based on goodness-of-fit statistics.
Hertog, D. den, Yanikoglu, I.
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Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
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Arthritis Care &Research, Accepted Article.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within ELSA‐Brasil included 585 participants (86 RA, 499 controls). Longitudinal analyses were restricted to those
Patrícia Fonseca Estrada +7 more
wiley +1 more source
Probabilistic treatment of the uncertainty from the finite size of weighted Monte Carlo data
, 2018 Parameter estimation in HEP experiments often involves Monte-Carlo simulation to model the experimental response function. A typical application are forward-folding likelihood analyses with re-weighting, or time-consuming minimization schemes with a new ...
Glüsenkamp, Thorsten
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Analytic field solution for machine learning integrating physics model and data driven approach
AIP AdvancesWe derive analytical formulas for machine learning that merge a physics model with a data driven approach. We use a path integral method to find a field solution that calculates machine learning statistics while considering the physics model’s ...
Xiaobin Wang, April Wang
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Determination of Uncertainty in Measuring Instruments in Electrical Engineering Programs
TecnoLógicas, 2019 When electrical engineering students start their instrumentation and measurement course, they have previously taken calculus, physics, probability, and statistics. However, they have problems to apply the knowledge they acquired to solve problems related
Álvaro Espinel-Ortega, Adriana Vega-E
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Probabilità e Statistica nella scuola primaria: esperienze didattiche e proposte
Science & Philosophy, 2014 INVALSI tests, with the idea of evaluating schools, and teachers, evaluating students abilities, produce a passage from mass school, in which the goal was to promote cooperation and uniform training of all students, with particular attention to the ...
Luciana Delli Rocili, Antonio Maturo
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