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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:
  • 担任导师情况:
  • 学位:
  • 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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  • 主页访问

    2011

  • 关注数

    1

  • 成果阅读

    151

  • 成果数

    9

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