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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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發(fā)表于 2025-3-21 19:49:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Risk-Based Investment Management in Practice
編輯Frances Cowell
視頻videohttp://file.papertrans.cn/831/830781/830781.mp4
叢書名稱Global Financial Markets
圖書封面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
關(guān)鍵詞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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