Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language

Rønning, O., Ley, C., Mardia, K.V. orcid.org/0000-0003-0090-6235 et al. (1 more author) (2021) Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language. In: 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 23-25 Sep 2021, Karlsruhe, Germany. IEEE ISBN 978-1-6654-4522-1

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: Proteins, Computer languages, Analytical models, Monte Carlo methods, Biological system modeling, Mixture models, Predictive models
Dates:
  • Published: 15 September 2021
  • Published (online): 15 September 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Jun 2024 12:16
Last Modified: 05 Jun 2024 12:16
Published Version: http://dx.doi.org/10.1109/mfi52462.2021.9591184
Status: Published
Publisher: IEEE
Identification Number: 10.1109/mfi52462.2021.9591184
Open Archives Initiative ID (OAI ID):

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