M. González Velasco, C. Minuesa Abril, A. N. Vidyashankar, I. M. del Puerto García

The topic of large deviation (LD) plays an important role on many results in statistics. Among others results, the LD behavior of the statistic that determines rate between the populations of two consecutive generations has been studied. This statistic has been used in the estimation of the amplification rate in a quantitative polymerase chain reaction (PCR) experiment where only the population sizes of such a generations are observed. In this talk we will focus on LD results in the framework of controlled branching processes (CBP). These are a generalization of standard Galton-Watson processes where at each generation the number of progenitors is randomly chosen through a random control function. The aim of this work is to develop LD results for CBPs under an assumption on the exponential moments or polynomial moments of the offspring distribution and also based on the asymptotic behaviour of the harmonic moments of the generation sizes.

Keywords: Large deviation, branching processes, controlled branching processes

Scheduled

GT15.PROCEST2 Invited Session
November 10, 2023  9:30 AM
CC3: Room 1


Other papers in the same session

Análisis probabilístico de problemas de control con incertidumbre

J. C. Cortés López, A. Navarro Quiles, J. V. Romero Bauset, M. D. Roselló Ferragud

Modelizando variables económicas en Colombia mediante procesos de difusión

A. De la Peña Cuao, A. Barrera Garcia, F. A. Torres Ruiz


Cookie policy

We use cookies in order to be able to identify and authenticate you on the website. They are necessary for the correct functioning of it, and therefore they can not be disabled. If you continue browsing the website, you are agreeing with their acceptance, as well as our Privacy Policy.

Additionally, we use Google Analytics in order to analyze the website traffic. They also use cookies and you can accept or refuse them with the buttons below.

You can read more details about our Cookie Policy and our Privacy Policy.