Results 101 to 110 of about 6,276,816 (299)
STEM-Based Bayesian Computational Learning Model-BCLM for Effective Learning of Bayesian Statistics
IEEE AccessThis work contributes to the comprehension of Bayes’ theorem inclusive Bayesian probabilities and Bayesian inferencing within the framework of STEM (Science, Technology, Engineering, Arts, and Mathematics) and cognitive learning w.r.t Bloom’
Ikram E. Khuda +2 more
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Comparisons of Methods of Estimation for a New Pareto-type Distribution
Statistica, 2019 Bourguignon et al. (2016) introduced a new Pareto-type distribution to model income and reliability data. The aim of this paper is to estimate the parameters of this distribution from both frequentist and Bayesian view points.
Ali Saadati Nik +2 more
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Advanced Materials, EarlyView.A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang +9 more
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Advanced Materials, EarlyView.Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum +14 more
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On the Stability of Bayes Estimators for Gaussian Processes. [PDF]
The Annals of Statistics, 1982 Consider a Gaussian signal process \(X=(X_ t)\) observed in the presence of an additive Gaussian noise process \(N=(N_ t)\) for t in [0,T]. The paper is concerned with the behaviour of the Bayes estimator \(\delta_ 0\) under departures from Gaussian law by the prior or noise processes. The problem of choosing a suitable contamination model is discussed.
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Advanced Materials, EarlyView.A cholesterol‐conjugated lipid library enabled the identification of a ligand‐free LNP platform for efficient mRNA delivery to brain endothelial cells via systemic administration. This platform achieves selective BBB targeting without disrupting barrier integrity, and enables modulation of neuroinflammation and vascular function without requiring trans‐
Zeru Tian +7 more
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Tikrit Journal of Pure Science, 2020 In this study, the variance compounds parameters of the mixed bi-division variance analysis sample are estimated. This estimation is obtained, by Bayes quadratic unbiased estimator. The second way to estimate variance compounds parameters of a suggested
Shaymaa Riyadh Thanoon
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Scientific Reports, 2018 Bayesian models have advanced the idea that humans combine prior beliefs and sensory observations to optimize behavior. How the brain implements Bayes-optimal inference, however, remains poorly understood.
Seth W. Egger, Mehrdad Jazayeri
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Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability [PDF]
, 1993 Various ways of estimating probabilities, mainly within the Bayesian framework, are discussed. Their relevance and application to machine learning is given, and their relative performance empirically evaluated. A method of accounting for noisy data is given and also applied.
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Advanced Materials Interfaces, EarlyView.Imide substitution with bulky 2,6‐isopropylphenyl groups induces perylene diimide to self‐assemble on Ag(111) into a monolayer with two coexisting adsorption heights. Molecules closer to the substrate gain metallic character due to charge transfer from the metal, while farther ones remain decoupled and semiconducting.
Giacomo Agnesod +12 more
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