RETRACTED: Bayesian Inference of Mixture Model via Differential Evolution and Sampling (Retracted Article)

Mixture model comprises a finite or infinite number of different distributional types of components and offers a much wider range of modeling possibilities than its components. In his paper, we present an approach for Bayesian inference of mixture model with Differential Evolution and Markov chain Monte Carlo(MCMC). Bayesian inference on Gaussian mixture model via Gibbs sampling and optimization with Differential Evolution MCMC are focuses of our work. The inference framework involves calculations of weight, mean and covariance corresponding to each component. Experimental results show novel effect of our method.