sbde
Semiparametric Bayesian Density Estimation
Offers Bayesian semiparametric density estimation and tail-index estimation for heavy tailed data, by using a parametric, tail-respecting transformation of the data to the unit interval and then modeling the transformed data with a purely nonparametric logistic Gaussian process density prior. Based on Tokdar et al. (2022) doi:10.1080/01621459.2022.2104727.
- Version1.0-1
- R version≥ 2.6
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/16/2024
Team
Surya Tokdar
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- Imports2 packages