New Results
Estimation of sub-epidemic dynamics by means of Sequential Monte Carlo Approximate Bayesian Computation: an application to the Swiss HIV Cohort Study
Ibeh Neke, Stéphane Aris-Brosou
doi: https://doi.org/10.1101/085993
Ibeh Neke
1Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Stéphane Aris-Brosou
1Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada
2Department of Mathematics and Statistics, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Article usage
Posted November 07, 2016.
Estimation of sub-epidemic dynamics by means of Sequential Monte Carlo Approximate Bayesian Computation: an application to the Swiss HIV Cohort Study
Ibeh Neke, Stéphane Aris-Brosou
bioRxiv 085993; doi: https://doi.org/10.1101/085993
Subject Area
Subject Areas
- Biochemistry (11725)
- Bioengineering (8728)
- Bioinformatics (29135)
- Biophysics (14940)
- Cancer Biology (12052)
- Cell Biology (17363)
- Clinical Trials (138)
- Developmental Biology (9408)
- Ecology (14147)
- Epidemiology (2067)
- Evolutionary Biology (18272)
- Genetics (12223)
- Genomics (16773)
- Immunology (11844)
- Microbiology (28027)
- Molecular Biology (11564)
- Neuroscience (60841)
- Paleontology (451)
- Pathology (1864)
- Pharmacology and Toxicology (3232)
- Physiology (4940)
- Plant Biology (10405)
- Synthetic Biology (2878)
- Systems Biology (7335)
- Zoology (1642)