![Computational statistics / Estimation theory / Gaussian function / Gibbs sampling / Normal distribution / Expectation–maximization algorithm / Kullback–Leibler divergence / Multivariate kernel density estimation / Importance sampling / Statistics / Monte Carlo methods / Non-parametric statistics Computational statistics / Estimation theory / Gaussian function / Gibbs sampling / Normal distribution / Expectation–maximization algorithm / Kullback–Leibler divergence / Multivariate kernel density estimation / Importance sampling / Statistics / Monte Carlo methods / Non-parametric statistics](https://www.pdfsearch.io/img/9cced319dec876d329b617f389fd839c.jpg)
| Document Date: 2012-02-01 13:34:22 Open Document File Size: 260,51 KBShare Result on Facebook
City Springer-Verlag / / / IndustryTerm dual tree evaluation algorithm / nonparametric belief propagation applications / multiscale algorithms / mixture products / inference algorithm / multi-tree algorithm / / Organization Massachusetts Institute of Technology / Computational Neuroscience Unit / Alan S. Willsky Department of Electrical Engineering / / Person Erik B. Sudderth / William T. Freeman / Alan S. Willsky / Alexander T. Ihler / / ProgrammingLanguage K / L / / ProvinceOrState New York / / Technology Recursive multi-tree algorithm / Neuroscience / inference algorithm / simulation / a pair of new sampling algorithms / EM algorithm / two multiscale algorithms / dual tree evaluation algorithm / /
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