Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels

Green, PL, Devlin, LJ, Moore, RE, Jackson, RJ, Li, J and Maskell, S (2022) Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels. Mechanical Systems and Signal Processing, 162. 108028 - 108028.

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Item Type:	Article
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science Faculty of Science and Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	26 May 2021 10:34
Last Modified:	18 Jan 2023 22:44
DOI:	10.1016/j.ymssp.2021.108028
Open Access URL:	https://arxiv.org/abs/2004.12838
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3124097

Available Versions of this Item

• Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels. (deposited 28 Apr 2020 09:19)
  • Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels. (deposited 26 May 2021 10:34) [Currently Displayed]
    • Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels. (deposited 27 May 2021 07:21)