Results 1 to 10 of about 770,979 (259)
Posterior Averaging Information Criterion [PDF]
Entropy, 2023 We propose a new model selection method, named the posterior averaging information criterion, for Bayesian model assessment to minimize the risk of predicting independent future observations.
Shouhao Zhou
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Information criterion for approximation of unnormalized densities. [PDF]
PLoS ONEThis paper considers the problem of approximating an unknown density when it can be evaluated up to a normalizing constant at a finite number of points.
John Y Choe, Yen-Chi Chen, Nick Terry
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Waveform Design for Multi-Target Detection Based on Two-Stage Information Criterion [PDF]
Entropy, 2022 Parameter estimation accuracy and average sample number (ASN) reduction are important to improving target detection performance in sequential hypothesis tests.
Yu Xiao, Xiaoxiang Hu
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An information criterion for marginal structural models. [PDF]
Stat Med, 2013 Marginal structural models were developed as a semiparametric alternative to the G‐computation formula to estimate causal effects of exposures. In practice, these models are often specified using parametric regression models. As such, the usual conventions regarding regression model specification apply.
Platt RW +4 more
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Typological Model of Textiles as a Kind of Applied Arts [PDF]
Художественная культура, 2023 The first theoretical interest in textiles as a type of applied arts arose in the 19th century. Since then, textiles have been the subject of research by individual specialists who have considered it from different points of view: as a technological ...
Mitrofanova Natalia Yu.
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Радіоелектронні і комп'ютерні системи, 2021 The research increases the recognition reliability of ground natural and infrastructural objects by use of an autonomous onboard unmanned aerial vehicle (UAV).
Igor Naumenko +2 more
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Genetic parameters and selection gain in tropical wheat populations via Bayesian inference [PDF]
Ciência Rural, 2022 : The development process of a new wheat cultivar requires time between obtaining the base population and selecting the most promising line. Estimating genetic parameters more accurately in early generations with a view to anticipating selection means ...
Henrique Caletti Mezzmo +5 more
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Sensors, 2023 A noise-resistant linearization model that reveals the true nonlinearity of the sensor is essential for retrieving accurate physical displacement from the signals captured by sensing electronics.
Wen-Hao Zhang +5 more
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Радіоелектронні і комп'ютерні системи, 2023 The subject matter of the article is the application of supervised machine learning for the task of object class recognition. The goal is enhancing functional efficiency in information-extreme technology (IET) for object class recognition.
Oleksandr Papchenko +2 more
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Stats, 2022 Model-based estimation of small area means can lead to reliable estimates when the area sample sizes are small. This is accomplished by borrowing strength across related areas using models linking area means to related covariates and random area effects.
Song Cai, J.N.K. Rao
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