pyParticleEst: A Python Framework for Particle-Based Estimation Methods

Particle methods such as the particle filter and particle smoothers have proven very useful for solving challenging nonlinear estimation problems in a wide variety of fields during the last decade. However, there are still very few existing tools available to support and assist researchers and engin...

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Bibliographic Details
Main Author: Jerker Nordh
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2017-06-01
Series:Journal of Statistical Software
Subjects:
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3153