Efficient CNN-LSTM Based Parameter Estimation of Lévy Driven Stochastic Differential Equations-Reference-Cited by-同舟云学术

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Efficient CNN-LSTM Based Parameter Estimation of Lévy Driven Stochastic Differential Equations

Published:2023-12-15 Issue: Volume:5 Page:316-323
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
language:
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Author:

Li Shuaiyu¹,Ruan Yang²,Long Changzhou³,Cheng Yuzhong⁴

Affiliation:

1. School of Information Science, Kyushu University,Fukuoka,Japan,819-0395

2. Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University,Fukuoka,Japan,819-0395

3. Graduate School of Science and Technology, Univeristy of Tsukuba,Ibaraki,Japan,305-8577

4. Joint Graduate School of Mathematics for Innovation, Kyushu University,Fukuoka,Japan,819-0395

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459988.pdf?arnumber=10459988

Reference40 articles.

1. Flexible continuous-time modelling for heterogeneous animal movement

2. Stochastic differential equation based on a multimodal potential to model movement data in ecology

3. Stochastic Duffing equation in modelling of financial time series

4. Continuous time resource selection analysis for moving animals

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