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https://github.com/cboettig/nonparametric-bayes
:notebook: Non-parametric Bayesian Inference for Conservation Decisions
https://github.com/cboettig/nonparametric-bayes
manuscript r reproducible-research research-compendium
Last synced: 11 days ago
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:notebook: Non-parametric Bayesian Inference for Conservation Decisions
- Host: GitHub
- URL: https://github.com/cboettig/nonparametric-bayes
- Owner: cboettig
- License: cc0-1.0
- Created: 2012-10-18T02:35:14.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2020-03-20T14:20:12.000Z (over 4 years ago)
- Last Synced: 2024-06-11T16:26:39.049Z (5 months ago)
- Topics: manuscript, r, reproducible-research, research-compendium
- Language: TeX
- Homepage: http://carlboettiger.info/projects/nonparametric-bayes.html
- Size: 20.6 MB
- Stars: 42
- Watchers: 5
- Forks: 12
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# nonparametric-bayes #
[](https://zenodo.org/badge/latestdoi/6271972)
* Authors:
- Carl Boettiger
- Marc Mangel
- Steve Munch
doi: 10.5281/zenodo.12669
This repository contains the research compendium of our work in
nonparametric Bayesian inference for improving ecosystem management under
deep structural uncertainty. The compendium contains all data, code,
and text associated with the publication and has been permanently archived
at the DOI indicated by the above badge.
## R package ##
[](https://travis-ci.org/cboettig/nonparametric-bayes)
This repository is organized as an R package, providing functions to integrate
the __stochastic dynamic programming__ and __Gaussian process inference__
methods explored here. Nevertheless, this package has been written explicitly
for this project and may not yet be suitable for more general purpose use.
## Manuscript ##
[](http://server.carlboettiger.info:88/github.com/cboettig/nonparametric-bayes)
The results of this project have now been written up for publication. See
the `manuscript` directory for details, including the code necessary to
run the examples shown.
## Notes and resources ##
* See my lab notebook entries under the
[nonparametric-bayes](http://www.carlboettiger.info/tags.html#nonparametric-bayes)
tag for ongoing description of this research.
* The [issues
tracker](https://github.com/cboettig/nonparametric-bayes/issues) lists
both current and accomplished goals in this project, and steps towards
their completion.
* See the repository
[history](https://github.com/cboettig/nonparametric-bayes/commits/master)
for a fine-grained view of progress and changes.
- This is an Open Laboratory Notebook project. All work
under this project has been available on the [github
repo](https://github.com/cboettig/nonparametric-bayes) as the research
progresses.
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