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刘军

     

  

statistical missing data problems, imputation methodology. gibbs sampling and other mcmc methods, rate of convergence. markov structure, graphical models (software bugs), and genetics. image reconstructions: pet, spect, etc. bayesian methodology. nonparametric hierarchical models, model selections and testings. large-scale computation and optimization, e.g., vlsi design; dynamic systems; computer vision. monte carlo filters, sequential importance sampling and resampling.

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  • 姓名:刘军
  • 目前身份:
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  • 学术头衔:

    博士生导师

  • 职称:-
  • 学科领域:

    数理统计学

  • 研究兴趣:statistical missing data problems, imputation methodology. gibbs sampling and other mcmc methods, rate of convergence. markov structure, graphical models (software bugs), and genetics. image reconstructions: pet, spect, etc. bayesian methodology. nonparametric hierarchical models, model selections and testings. large-scale computation and optimization, e.g., vlsi design; dynamic systems; computer vision. monte carlo filters, sequential importance sampling and resampling.
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