Random Sums and Branching Stochastic Processes

✍ Scribed by Ibrahim Rahimov (auth.)

• Publisher: Springer-Verlag New York
• Year: 1995
• Tongue: English
• Leaves: 206
• Series: Lecture Notes in Statistics 96
• Edition: 1
• Category: Library

✦ Synopsis

The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes. In particular, processes with reproduction-dependent and non-stationary immigration may be analysed quite simply from this perspective. On the other hand some new characterizations of the branching process without immigration dealing with its genealogical tree can be studied. Readers are assumed to have a firm grounding in probability and stochastic processes, but otherwise this account is self-contained. As a result, researchers and graduate students tackling problems in this area will find this makes a useful contribution to their work.

✦ Table of Contents

Front Matter....Pages i-ix
Introduction....Pages 1-4
Sums of a Random Number of Random Variables....Pages 5-43
Branching Processes with Generalized Immigration....Pages 44-104
Branching Processes with Time-Dependent Immigration....Pages 105-155
The Asymptotic Behavior of Families of Particles in the Branching Process....Pages 156-184
Back Matter....Pages 185-195

✦ Subjects

Probability Theory and Stochastic Processes