EM Algorithm for Estimation of the Offspring Probabilities in Some Branching Models

被引:0
|
作者
Daskalova, Nina [1 ]
机构
[1] Sofia Univ St Kliment Ohridski, Fac Math & Informat, Sofia, Bulgaria
来源
关键词
multitype branching processes; offspring probabilities; maximum likelihood estimation; EM algorithm; LIKELIHOOD-ESTIMATION; MAXIMUM-LIKELIHOOD; TERMINAL TYPES;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multitype branching processes (MTBP) model branching structures, where the nodes of the resulting tree are objects of different types. One field of application of such models in biology is in studies of cell proliferation. A sampling scheme that appears frequently is observing the cell count in several independent colonies at discrete time points (sometimes only one). Thus, the process is not observable in the sense of the whole tree, but only as the "generation" at given moment in time, which consist of the number of cells of every type. This requires an EM-type algorithm to obtain a maximum likelihood (ML) estimation of the parameters of the branching process. A computational approach for obtaining such estimation of the offspring distribution is presented in the class of Markov branching processes with terminal types.
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页码:181 / 188
页数:8
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