Inclusion probabilities of external variables in Bayesian predictive intervention model.

<p>Inclusion probabilities represent the probability of each external variable being used as a predictor for the forecasted model. Inclusion probabilities are shown for each intervention tested (4 total impacts) for all four market groups (duikers, mainland carcasses, primates, and rodents).</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-11-20
DOI
https://doi.org/10.1371/journal.pstr.0000139.s019
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
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article

Inclusion probabilities of external variables in Bayesian predictive intervention model.

Figshare
Statistical Methods and Bayesian Inference
article

Inclusion probabilities of external variables in Bayesian predictive intervention model.

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Abstract

<p>Inclusion probabilities represent the probability of each external variable being used as a predictor for the forecasted model. Inclusion probabilities are shown for each intervention tested (4 total impacts) for all four market groups (duikers, mainland carcasses, primates, and rodents).</p> <p>(PDF)</p>

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Statistical Methods and Bayesian Inference
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Inclusion probabilities of external variables in Bayesian predictive intervention model. · Figshare (2024) | TGRS Research Map | TGRS