The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.

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Thanks!

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kankan

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感谢分享！好资料

O(∩_∩)O谢谢

好书，看看，学习一下

谢谢分享

谢谢分享！

好书要顶，谢谢楼主

看看！

非常感谢分享

看看怎样的楼，长久不上了

Nonlinear Data Assimilation

多谢分享。。。。。