Probabilistic properties of second order branching process
The classical BGW process assumes first order dependence, whereas many real life datasets exhibit a second or higher order dependence. Further, in some situations, there is a need for a model which allows for simultaneous reproduction by a parent and its offspring. This paper proposes a second order...
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| Veröffentlicht in: | Annals of the Institute of Statistical Mathematics 2015-06, Vol.67 (3), p.557-572 |
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| container_title | Annals of the Institute of Statistical Mathematics |
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| creator | Kashikar, Akanksha S. Deshmukh, S. R. |
| description | The classical BGW process assumes first order dependence, whereas many real life datasets exhibit a second or higher order dependence. Further, in some situations, there is a need for a model which allows for simultaneous reproduction by a parent and its offspring. This paper proposes a second order branching process model to accommodate such situations and discusses its probabilistic properties such as extinction probability and limiting behaviour of the generation sizes. Estimation of offspring means and growth rate are also discussed. This model is further used to model the swine flu data for Pune, India, and La-Gloria, Mexico. |
| doi_str_mv | 10.1007/s10463-014-0462-0 |
| format | Article |
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| subjects | Age Branching (mathematics) Constraining Economics Finance Insurance Management Markov analysis Markov processes Mathematical analysis Mathematical models Mathematics Mathematics and Statistics Parents Probabilistic methods Probability Probability theory Random variables Reproduction Statistics Statistics for Business Studies |
| title | Probabilistic properties of second order branching process |
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