| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1154532 | Statistics & Probability Letters | 2015 | 5 Pages | 
Abstract
												In a multitype (dd types) supercritical positively regular Galton–Watson branching process, let {Xn,Xn−1,…,X0}{Xn,Xn−1,…,X0} denote the types of a randomly chosen (i.e., uniform distribution) individual from the nnth generation and this individual’s nn ancestors. It is shown here that this sequence converges in distribution to a Markov chain {Y0,Y1,…}{Y0,Y1,…} with transition probability matrix (pij)1≤i,j≤d(pij)1≤i,j≤d and having the stationary distribution. We also consider the critical case conditioned on non-extinction.
Keywords
												
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													Physical Sciences and Engineering
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											Authors
												Jyy-I Hong, K.B. Athreya, 
											