A non-parametric Bayesian model for bounded data

作者：

Highlights：

• We present a non-parametric Bayesian model in this paper.

• Our model has the flexibility to fit different shapes of the bounded support data.

• The number of the parameters in the proposed model is variable and infinite.

• The proposed model is tested in various data from simulated to real ones.

摘要

Highlights•We present a non-parametric Bayesian model in this paper.•Our model has the flexibility to fit different shapes of the bounded support data.•The number of the parameters in the proposed model is variable and infinite.•The proposed model is tested in various data from simulated to real ones.

论文关键词：Bounded data,Non-parametric,Beta distribution,Variational Bayesian learning

论文评审过程：Received 21 April 2014, Revised 14 November 2014, Accepted 27 December 2014, Available online 14 January 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.12.019