Results 81 to 90 of about 2,617,552 (333)
Spin Defects in Hexagonal Boron Nitride as 2D Strain Sensors
Advanced Functional Materials, EarlyView.We demonstrate that boron‐vacancy (VB${\rm V}_{\rm B}$) centers in hexagonal boron nitride (hBN) enable quantitative strain sensing with sub‐micrometer resolution. Using this approach under continuously tunable in‐plane stress, we precisely quantify strain‐induced shifts of the E2g${\rm E}_{2{\rm g}}$ Raman mode in multilayer hBN, establishing VB${\rm ...
Zhao Mu +7 more
wiley +1 more source
The Annals of Mathematical Statistics, 1967 Throughout this paper we are concerned with the problem of estimating a real parameter when the loss function is such that the Bayes estimate exists, is unique, and satisfies a simple Equation, (1.5). If the estimate is unbiased (in the general sense of Lehmann [3]) we show under weak conditions that it must satisfy another Equation, (1.14).
Bickel, Peter J., Blackwell, David
openaire +3 more sources
Crystal Engineering of Reticular Materials for Gas‐ and Liquid‐Phase Hydrocarbon Separation
Advanced Materials, EarlyView.Crystal engineering enables systematic study of structure/function relationships as exemplified by pore engineering of reticular sorbents, including porous coordination networks and covalent organic frameworks. This review assesses such studies applied across the full scope of industrially relevant hydrocarbon separations to provide insight into how ...
Xia Li +2 more
wiley +1 more source
Analysis of the Use of Background Distribution for Naive Bayes Classifiers
Journal of Intelligent Systems, 2019 The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel +2 more
doaj +1 more source
Statistica, 2019 In this article, we proposed and studied the inverted exponentiated gamma distribution (IEGD). IEGD is obtained by considering the inverse transformation of exponentiated gamma variate.
Abhimanyu Singh Yadav
doaj +1 more source
Bayes Estimation under Conjugate Prior for the Case of Power Function Distribution
, 2012 The Bayesian estimation approach is a non-classical device in the estimation part of statistical inference which is very useful in real world situation. The main objective of this paper is to study the Bayes estimators of the parameter of Power function ...
Habibur Rahman, M. Roy, A. R. Baizid
semanticscholar +1 more source
A nonparametric empirical Bayes approach to covariance matrix estimation
, 2021 We propose an empirical Bayes method to estimate high-dimensional covariance matrices. Our procedure centers on vectorizing the covariance matrix and treating matrix estimation as a vector estimation problem.
Xin, Huiqin, Zhao, Sihai Dave
core
Liquid Metal Microrobots for Magnetically Guided Transvascular Navigation
Advanced Materials, EarlyView.Liquid metal‐based microrobots combine magnetic steering, intrinsic X‐ray visibility and softness, to navigate blood vessels even against flow. Under clinically relevant magnetic fields, liquid metal microrobots roll along vessel walls, cross endothelial barriers, and accumulate in target tissues.
Xiaohui Ju +7 more
wiley +1 more source
An empirical Bayes estimation problem [PDF]
Proceedings of the National Academy of Sciences, 1980 Let x be a random variable such that, given θ, x is Poisson with mean θ, while θ has an unknown prior distribution G . In many statistical problems one wants to estimate as accurately as possible the parameter E (θǀ x =
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Advanced Materials Technologies, EarlyView.In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang +9 more
wiley +1 more source