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Christopher Fonnesbeck
PeerJ Author
475 Points

Contributions by role

Author 405
Preprint Author 70

Contributions by subject area

Conservation Biology
Marine Biology
Data Mining and Machine Learning
Data Science
Scientific Computing and Simulation
Ecology
Environmental Sciences
Natural Resource Management

Christopher J Fonnesbeck

PeerJ Author

Summary

Assistant professor in biostatistics at Vanderbilt University, specializing in applying Bayesian inference to evidence-based medicine and infectious disease epidemiology. Also a consultant for marine ecology and conservation projects involving statistical decision analysis.

Computational Biology Conservation Biology Ecology Epidemiology Evidence Based Medicine Infectious Diseases Public Health Statistics

Editing Journals

Past or current institution affiliations

Vanderbilt University

Work details

Assistant Professor

Vanderbilt University
Biostatistics

Websites

  • GitHub
  • StrongInference

PeerJ Contributions

  • Articles 3
  • Preprints 2
August 31, 2016
Joint estimation of crown of thorns (Acanthaster planci) densities on the Great Barrier Reef
M. Aaron MacNeil, Camille Mellin, Morgan S. Pratchett, Jessica Hoey, Kenneth R.N. Anthony, Alistair J. Cheal, Ian Miller, Hugh Sweatman, Zara L. Cowan, Sascha Taylor, Steven Moon, Chris J. Fonnesbeck
https://doi.org/10.7717/peerj.2310 PubMed 27635314
April 6, 2016
Probabilistic programming in Python using PyMC3
John Salvatier, Thomas V. Wiecki, Christopher Fonnesbeck
https://doi.org/10.7717/peerj-cs.55
June 3, 2014
Compliance with vessel speed restrictions to protect North Atlantic right whales
Gregory K. Silber, Jeffrey D. Adams, Christopher J. Fonnesbeck
https://doi.org/10.7717/peerj.399 PubMed 24949229
May 20, 2016 - Version: 1
Joint estimation of crown of thorns (Acanthaster plancii) densities on the Great Barrier Reef
M. Aaron MacNeil, Camille Mellin, Morgan S Pratchett, Jessica Hoey, Kenneth RN Anthony, Alistair J Cheal, Ian Miller, Hugh Sweatman, Zara L Cowan, Sascha Taylor, Chris J Fonnesbeck
https://doi.org/10.7287/peerj.preprints.2057v1
January 28, 2016 - Version: 1
Probabilistic programming in Python using PyMC3
John Salvatier, Thomas V Wiecki, Christopher Fonnesbeck
https://doi.org/10.7287/peerj.preprints.1686v1