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- W2912306427 abstract "One way of defining probability distributions for circular variables (directions in two dimensions) is to radially project probability distributions, originally defined on $mathbb{R}^2$, to the unit circle. Projected distributions have proved to be useful in the study of circular and directional data. Although any bivariate distribution can be used to produce a projected circular model, these distributions are typically parametric. In this article we consider a bivariate Polya tree on $mathbb{R}^2$ and project it to the unit circle to define a new Bayesian nonparametric model for circular data. We study the properties of the proposed model, obtain its posterior characterisation and show its performance with simulated and real datasets." @default.
- W2912306427 created "2019-02-21" @default.
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- W2912306427 date "2019-02-16" @default.
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- W2912306427 title "Projected P'olya Tree" @default.
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