New Results
Two case studies detailing Bayesian parameter inference for dynamic energy budget models
View ORCID ProfilePhilipp H. Boersch-Supan, View ORCID ProfileLeah R. Johnson
doi: https://doi.org/10.1101/259705
Philipp H. Boersch-Supan
ADepartment of Geography, University of Florida, Gainesville, FL 32611, USA
BEmerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA
CDepartment of Integrative Biology, University of South Florida, Tampa, FL 33610, USA
Leah R. Johnson
DDepartment of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
Article usage
Posted July 30, 2018.
Two case studies detailing Bayesian parameter inference for dynamic energy budget models
Philipp H. Boersch-Supan, Leah R. Johnson
bioRxiv 259705; doi: https://doi.org/10.1101/259705
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)