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Titlebook: Risk-Based Investment Management in Practice; Frances Cowell Book 2013 Palgrave Macmillan, a division of Macmillan Publishers Limited 2013

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发表于 2025-3-21 19:49:13 | 显示全部楼层 |阅读模式
书目名称Risk-Based Investment Management in Practice
编辑Frances Cowell
视频videohttp://file.papertrans.cn/831/830781/830781.mp4
丛书名称Global Financial Markets
图书封面Titlebook: Risk-Based Investment Management in Practice; Frances Cowell Book 2013 Palgrave Macmillan, a division of Macmillan Publishers Limited 2013
描述A practitioner‘s account of how investment risk affects the decisions of professional investment managers. Jargon-free, with a broad coverage of investment types and asset classes, the non-investment professional will find this book readable and accessible.
出版日期Book 2013
关键词asset allocation; derivatives; Futures; Investment; Options; Portfolio; Portfolio Selection; Risk Managemen
版次1
doihttps://doi.org/10.1057/9781137346407
isbn_softcover978-1-349-46692-4
isbn_ebook978-1-137-34640-7Series ISSN 2946-3831 Series E-ISSN 2946-384X
issn_series 2946-3831
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2013
The information of publication is updating

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Frances Cowellt. In this phase, with the aeroelastic simulator, preliminary stability envelopes are constructed to determine the flutter boundary of the aircraft with damage and without damage to the aircraft. By using available simulation results, an initial meta-model is trained offline. During the online phase
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Frances Cowell to minimize least squares error for given training data. The Bayesian approach classifies operating modes according to supervised offline training and can discover new statistically significant modes online. As shown in Tuninter 1153 simulation result, dynamic Bayes classifier finds discrete error
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Frances Cowellncreasing number of targets and sensors. Appropriate suboptimal approximations are presented to alleviate this computational complexity of the sensor-tasking problem. The submodular property of the mutual information measure is utilized to provide guarantees on the optimality of different approximat
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