.zenodo.json

{
  "title": "Sources for: Avoiding tipping points in fisheries management through Gaussian Process Dynamic Programming",
  "creators": [{
      "name": "Boettiger, Carl",
      "affiliation": "Center for Stock Assessment Research, Department of Applied Math and Statistics, University of California, Santa Cruz, USA"
"
  }, {
      "name": "Mangel, Marc",
      "affiliation": "Center for Stock Assessment Research, Department of Applied Math and Statistics, University of California, Santa Cruz, USA"
  }, {
      "name": "Munch, Stephan",
      "affiliation": "Southwest Fisheries Science Center"
  }],
  "description": "This repository contains the software implementation for our paper 'Avoiding tipping points in fisheries management through Gaussian Process Dynamic Programming'",
  "access_right": "open",
  "license": "mit-license",
  "keywords": [
    "ecology",
    "Bayesian",
    "Gaussian Processes",
    "fisheries",
    "optimal control",
    "management",
    "Stochastic Dynamic Programming"
    ],
  "related_identifiers": [{
    "identifier": "http://dx.doi.org/10.1098/rspb.2014.1631",
    "relation": "isCitedBy"
  }]
}