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  • 标题:A Markov Basis for Two-state Toric Homogeneous Markov Chain Model Without Initial Parameters
  • 本地全文:下载
  • 作者:Hisayuki Hara ; Akimichi Takemura
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2011
  • 卷号:41
  • 期号:1
  • 页码:033-049
  • DOI:10.14490/jjss.41.033
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:We derive a Markov basis consisting of moves of degree at most three for a two-state toric homogeneous Markov chain model of arbitrary length without parameters for initial states. Our basis consists of moves of degree three and degree one, which alter the initial frequencies, in addition to moves of degree two and degree one for toric homogeneous Markov chain model with parameters for initial states.
  • 关键词:Algebraic statistics;Gröbner basis;indispensable move;toric ideal
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