Probabilistic Inference on Noisy Time Series (PINTS)
Authors
Department of Computer Science, University of Oxford, Oxford
MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London
Department of Computer Science, University of Oxford, Oxford
Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham
Department of Computer Science, University of Oxford, Oxford
DOI: https://doi.org/10.5334/jors.252 | Journal eISSN: 2049-9647
Language: English
Submitted on: Nov 7, 2018
Accepted on: Jul 5, 2019
Published on: Jul 19, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2019 Michael Clerx, Martin Robinson, Ben Lambert, Chon Lok Lei, Sanmitra Ghosh, Gary R. Mirams, David J. Gavaghan, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.