Predicting extinction or explosion in a Galton–Watson branching process
Author(s) -
Peter Guttorp,
Michael D. Perlman
Publication year - 2013
Publication title -
statistical inference for stochastic processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.723
H-Index - 20
eISSN - 1572-9311
pISSN - 1387-0874
DOI - 10.1007/s11203-013-9083-0
Subject(s) - branching process , extinction probability , mathematics , lemma (botany) , extinction (optical mineralogy) , simple (philosophy) , branching (polymer chemistry) , statistical physics , statistics , physics , population , epistemology , ecology , philosophy , demography , poaceae , materials science , sociology , population size , optics , composite material , biology
Based on observations \(X_1,\dots ,X_n\) of successive generations of a discrete-parameter Galton–Watson branching process, one wishes to predict whether extinction or explosion will ultimately occur. This problem can be formulated as a simple hypothesis-testing problem to which the Neyman–Pearson Lemma is directly applicable if the extinction probability is known or estimable. If it is not, valid (but conservative) tests still can be obtained.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom