Results 1 to 10 of about 716,617 (262)
Brain kernel: A new spatial covariance function for fMRI data [PDF]
A key problem in functional magnetic resonance imaging (fMRI) is to estimate spatial activity patterns from noisy high-dimensional signals. Spatial smoothing provides one approach to regularizing such estimates. However, standard smoothing methods ignore
Anqi Wu +6 more
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Introduction to Neutrosophic Stochastic Processes [PDF]
In this article, the definition of literal neutrosophic stochastic processes is presented for the first time in the form 𝒩𝑡 = 𝜉𝑡 + 𝜂𝑡𝐼 ;𝐼 2 = 𝐼 where both {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜂(𝑡),𝑡 ∈ 𝑇} are classical real valued stochastic processes.
Mohamed Bisher Zeina, Yasin Karmouta
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Covariate Model of Pixel Vector Intensities of Invasive H. sosnowskyi Plants
This article describes an agricultural application of remote sensing methods. The idea is to aid in eradicating an invasive plant called Sosnowskyi borscht (H. sosnowskyi).
Ignas Daugela +4 more
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FUNCTIONAL SEQUENTIAL TREATMENT ALLOCATION WITH COVARIATES [PDF]
We consider a sequential treatment problem with covariates. Given a realization of the covariate vector, instead of targeting the treatment with highest conditional expectation, the decision-maker targets the treatment which maximizes a general functional of the conditional potential outcome distribution, e.g., a conditional quantile, trimmed mean, or ...
Kock, Anders Bredahl +2 more
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基于非均匀分布的陆地重力观测数据,重构局部重力场模型是区域重力资料处理与解释的重要环节。本文对比了多种局部重力场建模方法,并以EGM2008模型提供的自由空气重力异常模型重采样数据进行测试,综合比较了不同噪声条件下不同建模方法的实际效果。结果表明:在不同噪声水平下,优选出适合重力位场问题的协方差函数后,最小二乘配置法的建模效果优于其它方法。
Mingming Ruan, Shi Chen, Jiancheng Han
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Functional PCA With Covariate-Dependent Mean and Covariance Structure
28 pages, 3 ...
Fei Ding +3 more
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Analysis of Dynamic Parameters of the System of Raster Formation and Control
The presented research work analyzes the sensing system, the main aim of which is a raster formation and controlling this process using the optical measuring equipment and high precision angle encoders. Optical measuring equipment are used for the raster
Antanas Fursenko +6 more
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Recovering covariance from functional fragments [PDF]
Biometrika, in ...
Descary, Marie-Hélène +1 more
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Bandwidth plays a crucial role in the Geographically Weighted Regression modelas it affects the model’s ability to describe spatial dependencies. If the bandwidth is too large, the model will be similar to a normal regression model.
Winsy Weku +3 more
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Um total de 19.770 pesos corporais de bovinos Guzerá, do nascimento aos 365 dias de idade, pertencentes ao banco de dados da Associação Brasileira dos Criadores de Zebu (ABCZ) foi analisado com os objetivos de comparar diferentes estruturas de variâncias
Luciele Cristina Pelicioni +2 more
doaj +1 more source

