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====== Monte Carlo and Advanced simulation methods ====== | ====== Monte Carlo and Advanced simulation methods ====== | ||
- | Contact: | + | <color /yellow>Contact:</color> |
<nowiki> | <nowiki> | ||
- | **[email protected]** | + | [email protected] |
</nowiki> | </nowiki> | ||
===== Introduction ===== | ===== Introduction ===== | ||
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* [[https://colab.research.google.com/drive/1hOHIcrIuH339IkO8TGneQRGpnJCwWA-r?usp=sharing| Computer sessions]] | * [[https://colab.research.google.com/drive/1hOHIcrIuH339IkO8TGneQRGpnJCwWA-r?usp=sharing| Computer sessions]] | ||
- | * {{ :world:cours:jvn1.pdf | Day1}} | + | * {{ :world:cours:jvn5.pdf | Day1-2-3-4-5}} |
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* Tutorial 1H30: Exercise. | * Tutorial 1H30: Exercise. | ||
+ | ===== Bibliography with some related papers ===== | ||
+ | * [[https://ojs.wiserpub.com/index.php/CCDS/article/view/2110/1224| antithetic monte carlo and option pricing]]. | ||
+ | * [[https://arxiv.org/abs/2103.16689| control variates]]. A Michael Jordan's paper. | ||
+ | * [[https://proceedings.neurips.cc/paper_files/paper/2022/file/b1e7f61f40d68b2177857bfcb195a507-Paper-Conference.pdf| Yann LeCun et al. 2022]]: Stochastic Gradient Hamiltonian Monte Carlo. | ||