Results 51 to 60 of about 547,284 (267)
Journal of Marine Science and Engineering, 2020 This paper conducts coupled Eulerian–Lagrangian (CEL) analysis to characterize the model uncertainty of using the cylindrical shear method (CSM) to predict the pullout capacity of helical anchors in cohesive soils.
Po Cheng +3 more
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Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data
Risks, 2023 Insurance loss data are usually in the form of left-truncation and right-censoring due to deductibles and policy limits, respectively. This paper investigates the model uncertainty and selection procedure when various parametric models are constructed to
Qian Zhao, Sahadeb Upretee, Daoping Yu
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Re‐Irradiation in Pediatric Diffuse Midline Glioma: A Multi‐Institutional Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with recurrent diffuse midline gliomas (DMGs) have limited therapeutic options at recurrence. Re‐irradiation (RT2) may be used at progression, but with uncertainty about the benefit. Methods We conducted a multi‐institutional retrospective study of children aged < 18 with DMG treated at three centers (Toronto, Canada ...
Ajay Thomas Alex +13 more
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Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference
Sensors, 2020 We present a novel approach for training deep neural networks in a Bayesian way. Compared to other Bayesian deep learning formulations, our approach allows for quantifying the uncertainty in model parameters while only adding very few additional ...
Jan Steinbrener +2 more
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The Impact of a Regional Nuclear Conflict between India and Pakistan: Two Views
Journal for Peace and Nuclear Disarmament, 2021 The severity of climatic effects of a regional nuclear conflict between India and Pakistan, involving the use of a hundred Hiroshima-scale nuclear weapons, is contested between two groups; Mills et al.
G. D. Hess
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Geosciences, 2023 The operation of upstream reservoirs in mountainous regions fed by snowmelt is highly challenging. This is partly due to scarce information given harsh topographic conditions and a lack of monitoring stations. In this sense, snow observations from remote
Gökçen Uysal +3 more
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Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
Pediatric Blood &Cancer, EarlyView.ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source
Improving Re-Identification by Estimating and Utilizing Diverse Uncertainty Types for Embeddings
AlgorithmsIn most re-identification approaches, embedding vectors are compared to identify the best match for a given query. However, this comparison does not take into account whether the encoded information in the embedding vectors was extracted reliably from ...
Markus Eisenbach +3 more
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Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis
Econometrics, 2020 This paper discusses Bayesian model averaging (BMA) in Stochastic Frontier Analysis and investigates inference sensitivity to prior assumptions made about the scale parameter of (in)efficiency. We turn our attention to the “standard” prior specifications
Kamil Makieła, Błażej Mazur
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Probabilistic Models for the Shear Strength of RC Deep Beams
Applied Sciences, 2023 A new shear strength determination of reinforced concrete (RC) deep beams was proposed by using a statistical approach. The Bayesian–MCMC (Markov Chain Monte Carlo) method was introduced to establish a new shear prediction model and to improve seven ...
Zhenjun Li +5 more
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