数学系Seminar第1813期 非马氏反应过程的马氏逼近

创建时间:  2019/04/23  龚惠英   浏览次数:   返回

报告主题:非马氏反应过程的马氏逼近
报告人:周天寿    教授    (中山大学)
报告时间:2019年4月25日(周四)15:30
报告地点:校本部G508
邀请人:许新建
主办部门:理学院数学系
报告摘要:Traditional moment-closure methods need to assume that high-order cumulants of a probability distribution approximate to zero. However, this strong assumption is not satisfied for many biochemical reaction networks. Here, we introduce convergent moments (defined in mathematics as the coefficients in the Taylor expansion of the probability-generating function at some point) to overcome this drawback of the moment-closure methods.

 

 


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上一条:数学系Seminar第1814期 复杂网络系统的药物靶标的识别与控制

下一条:数学系Seminar第1812期 Bayesian inference of stochastic models using early rejection


数学系Seminar第1813期 非马氏反应过程的马氏逼近

创建时间:  2019/04/23  龚惠英   浏览次数:   返回

报告主题:非马氏反应过程的马氏逼近
报告人:周天寿    教授    (中山大学)
报告时间:2019年4月25日(周四)15:30
报告地点:校本部G508
邀请人:许新建
主办部门:理学院数学系
报告摘要:Traditional moment-closure methods need to assume that high-order cumulants of a probability distribution approximate to zero. However, this strong assumption is not satisfied for many biochemical reaction networks. Here, we introduce convergent moments (defined in mathematics as the coefficients in the Taylor expansion of the probability-generating function at some point) to overcome this drawback of the moment-closure methods.

 

 


欢迎教师、学生参加!

上一条:数学系Seminar第1814期 复杂网络系统的药物靶标的识别与控制

下一条:数学系Seminar第1812期 Bayesian inference of stochastic models using early rejection