Corpus ID: 16242938

Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence

@article{Ardeshiri2015GaussianMR,
  title={Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence},
  author={T. Ardeshiri and U. Orguner and Emre {\"O}zkan},
  journal={ArXiv},
  year={2015},
  volume={abs/1508.05514}
}
Bayesian inference is a statistical inference technique in which Bayes’ theorem is used to update the probability distribution of a random variable using observations. Except for few simple cases, expression of such probability distributions using compact analytical expressions is infeasible. Approximation methods are required to express the a priori knowledge about a random variable in form of prior distributions. Further approximations are needed to compute posterior distributions of the… Expand
2 Citations
Bayesian estimation of unknown parameters over networks

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