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Titlebook: Advances in Modeling and Simulation; Festschrift for Pier Zdravko Botev,Alexander Keller,Bruno Tuffin Book 2022 The Editor(s) (if applicabl

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樓主: gingerly
41#
發(fā)表于 2025-3-28 17:53:24 | 只看該作者
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發(fā)表于 2025-3-28 21:21:26 | 只看該作者
Zdravko Botev,Alexander Keller,Bruno TuffinPresents a key feature of Pierre L’Ecuyer’s research that he always has a keen interest to make it be useful.Is the contributions that will carry over this feature in honor of Pierre‘s work.Provides c
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發(fā)表于 2025-3-29 00:32:20 | 只看該作者
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發(fā)表于 2025-3-29 03:44:38 | 只看該作者
Simona Giuratrabocchetta,Ivana Gianniniculus and recent approaches proposed in machine learning, and examine their performance on synthetic and real data. Our preliminary results confirm that pricing an American put option on a single asset can be efficiently done using regression approaches, and random forests are competitive in terms o
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發(fā)表于 2025-3-29 07:48:58 | 只看該作者
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發(fā)表于 2025-3-29 17:57:59 | 只看該作者
Adjustment to Empire, 1763–1770l is to both simulate from this truncated density, as well as to estimate its normalizing constant. To this end we consider an exponentially tilted sequential importance sampling (IS) density. We prove that the corresponding IS estimator of the normalizing constant, a rare-event probability, has bou
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發(fā)表于 2025-3-29 23:21:55 | 只看該作者
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發(fā)表于 2025-3-30 00:57:17 | 只看該作者
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