Results 31 to 40 of about 7,271,134 (247)
Isobaric yield ratio difference and Shannon information entropy
Physics Letters B, 2015 The Shannon information entropy theory is used to explain the recently proposed isobaric yield ratio difference (IBD) probe which aims to determine the nuclear symmetry energy.
Chun-Wang Ma +5 more
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Alternative measures and decomposition of mutual funds portfolio performance [PDF]
Bankarstvo, 2018 In addition to the well-established and most commonly used portfolio performance measures, both in theory and practice - the Sharpe ratio, the Treynor ratio and the Jensen's or alpha index, the financial literature also includes other alternative ...
Leković Miljan
doaj
Preoperative neutrophil-lymphocyte ratio and outcome from coronary artery bypass grafting [PDF]
, 2007 Background: An elevated preoperative white blood cell count has been associated with a worse outcome after coronary artery bypass grafting (CABG). Leukocyte subtypes, and particularly the neutrophil-lymphocyte (N/L) ratio, may however, convey superior ...
Buchan, Keith G. +9 more
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IEEE Access, 2020 Information content is an important criterion for many image processing algorithms such as band selection and image fusion. Usually, information content is quantified by using information entropy (i.e., Shannon entropy); however, this is not a suitable ...
Peichao Gao +5 more
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Robust information from phylogenetic trees? [PDF]
, 2010 Traditional information criteria approaches can lead to misleading model choice in comparative phylogenetics. I present both these weaknesses and a more robust comparison by likelihood ratio.
Carl Boettiger
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, 2018 Alpha-based performance evaluation may fail to capture correlated residuals due to model errors. This paper proposes using the Generalized Information Ratio (GIR) to measure performance under misspecified benchmarks.
He, Zhongzhi Lawrence
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A DTN routing scheme for quasi-deterministic networks with application to LEO satellites topology [PDF]
, 2012 We propose a novel DTN routing algorithm, called DQN, specifically designed for quasi-deterministic networks with an application to satellite constellations.
Baudoin, Cédric +5 more
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IEEE Access, 2013 The signal processing concept of signal-to-noise ratio (SNR), in its role as a performance measure, is recast within the more general context of information theory, leading to a series of useful insights. Establishing generalized SNR (GSNR) as a rigorous
John Polcari
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IEEE Access, 2023 Various graph neural networks (GNNs) have been proposed to solve node classification tasks in machine learning for graph data. GNNs use the structural information of graph data by aggregating the feature vectors of neighboring nodes.
Yuga Oishi, Ken Kaneiwa
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Information ratio analysis of momentum strategies
, 2014 In the past 20 years, momentum or trend following strategies have become an established part of the investor toolbox. We introduce a new way of analyzing momentum strategies by looking at the information ratio (IR, average return divided by standard ...
Ferreira, Fernando F. +2 more
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