Bayesian Model Selection Results for Daily Sampling Interval Models for Common Leopards.

<p>Bayesian model selection results for spatially explicit capture-recapture models with daily sampling intervals for common leopards in Royal Manas National Park, Bhutan during 2010–2011. Pr(Model|data) gives the posterior probability of a model given the data among the candidate models. The Bayes factor, <i>B</i>_l0, provides a Bayesian analog to the likelihood ratio of a model compared to the null, distance model, where values greater than one indicate support for the alternative model. log₁₀<i>B</i>_l0 and 2 ln <i>B</i>_l0 describe different transformations of the Bayes factor to the log₁₀ scale as suggested by Jeffreys (1961) and twice the natural logarithmic scale as suggested by Kass & Raftery (1995), respectively. These transformations correspond to the familiar log-odds scale of logistic regression and deviance scale of many information criteria, respectively. For both transformations, values greater than zero favor the alternative hypothesis.</p><p>Bayesian Model Selection Results for Daily Sampling Interval Models for Common Leopards.