“We have used Stan to study dead dolphins”

In response to our call for references to successful research using Stan, Matthieu Authier points us to this:

@article{
year={2014},
journal={Biodiversity and Conservation},
volume={23},
number={10},
doi={10.1007/s10531-014-0741-3},
title={How much are stranding records affected by variation in reporting rates? A case study of small delphinids in the Bay of Biscay},
url={http://dx.doi.org/10.1007/s10531-014-0741-3},
keywords={Monitoring; Marine mammal; Strandings},
author={Authier, Matthieu and Peltier, Hélène and Dorémus, Ghislain and Dabin, Willy and Van Canneyt, Olivier and Ridoux, Vincent},
pages={2591-2612},
}

Next stop, flying squirrels!

4 thoughts on ““We have used Stan to study dead dolphins”

  1. In next week’s Harper’s Findings:

    Scientists concluded that the negative binomial distribution proved useful and interpretable for modelling small delphinid strandings.

  2. As a distribution that has two parameters, the negative binomial may make some sense, but as a distribution where it’s the number of binomial events of type A until k events of type B occur… not so much.

    The interpretation as a continuous mixture of poisson processes with rates from gamma distributions seems more likely to be the real reason this distribution shows up so frequently.

  3. Pingback: Stan comes through . . . again! - Statistical Modeling, Causal Inference, and Social Science Statistical Modeling, Causal Inference, and Social Science

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