Particle Methods for Stochastic Differential Equation Mixed Effects Models-Reference-Cited by-同舟云学术

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Particle Methods for Stochastic Differential Equation Mixed Effects Models

Published:2021-06-01 Issue:2 Volume:16 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Botha Imke¹,Kohn Robert²,Drovandi Christopher¹

Affiliation:

1. School of Mathematical Sciences, Queensland University of Technology, Australia

2. School of Economics, University of New South Wales

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.ba/1592445853

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation for stochastic differential equation mixed models using approximation methods;AIMS Mathematics;2024

2. Least squares estimation for a class of uncertain Vasicek model and its application to interest rates;Statistical Papers;2023-09-25

3. An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation;2023-08-23

4. Stochastic Differential Equation-based Mixed Effects Model of the Fluid Volume in the Fasted Stomach in Healthy Adult Human;The AAPS Journal;2023-07-27

5. Automatically adapting the number of state particles in SMC$$^2$$;Statistics and Computing;2023-05-29

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