Results 1 to 10 of about 9,847,397 (189)
Bayesian Regression Analysis for Dependent Data with an Elliptical Shape [PDF]
EntropyThis paper proposes a parametric hierarchical model for functional data with an elliptical shape, using a Gaussian process prior to capturing the data dependencies that reflect systematic errors while modeling the underlying curved shape through a von ...
Yian Yu +5 more
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Causal Inference in the Presence of Interference in Sponsored Search Advertising
Frontiers in Big Data, 2022 In classical causal inference, inferring cause-effect relations from data relies on the assumption that units are independent and identically distributed.
Razieh Nabi +4 more
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An Approach for Testing False Data Injection Attack on Data Dependent Industrial Devices [PDF]
Journal of Universal Computer Science, 2021 False data injection is an attack in which an attacker injects fabricated data into a system with the objective to change the behaviour and the decision-making of the system.
Mathieu Briland, Fabrice Bouquet
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Revista de Economia Mackenzie, 2020 The objective of this paper was to verify the interrelationships between the stock returns of 33 Brazilian companies that make up the São Paulo Stock Exchange Index (IBOVESPA), from January 2006 to June 2018, using the principal components analysis ...
Edson Zambon Monte +1 more
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Fast Energy Dependent Scatter Correction for List-Mode PET Data
Journal of Imaging, 2021 Improvements in energy resolution of modern positron emission tomography (PET) detectors have created opportunities to implement energy-based scatter correction algorithms.
Juan Manuel Álvarez-Gómez +3 more
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The replacement bootstrap for dependent data [PDF]
2015 IEEE International Symposium on Information Theory (ISIT), 2015 Applications that deal with time-series data often require evaluating complex statistics for which each time series is essentially one data point. When only a few time series are available, bootstrap methods are used to generate additional samples that can be used to evaluate empirically the statistic of interest.
Sani, Amir +2 more
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Modelling, characterization of data-dependent and process-dependent errors in DNA data storage [PDF]
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021 Abstract Motivation Using DNA as the medium to store information has recently been recognized as a promising solution for long-term data storage. While several system prototypes have been demonstrated, the error characteristics in DNA data storage are discussed with limited content.
Yixin Wang 0005 +4 more
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Data-Dependent Randomized Smoothing
CoRR, 2020 Randomized smoothing is a recent technique that achieves state-of-art performance in training certifiably robust deep neural networks. While the smoothing family of distributions is often connected to the choice of the norm used for certification, the parameters of these distributions are always set as global hyper parameters independent from the input
Motasem Alfarra +3 more
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The assessment of knowledge economy efficiency:comparing Turkey with the European Union countries [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2018 Knowledge economy is an economy that produces, distributes and uses information. Nowadays, investment in quality information rather than capital inputs is becoming more and more important for countries to develop and to be able to compete with each ...
Tuba Yakıcı Ayan, Hakan Pabuçcu
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Journal of Pharmaceutical Analysis, 2022 Lipidomics coverage improvement is essential for functional lipid and pathway construction. A powerful approach to discovering organism lipidome is to combine various data acquisitions, such as full scan mass spectrometry (full MS), data-dependent ...
Nguyen Hoang Anh +10 more
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