B1814
Title: Particle filtering methods for partially observed branching processes
Authors: Miguel Gonzalez Velasco - University of Extremadura (Spain) [presenting]
Pedro Martin-Chavez - University of Extremadura (Spain)
Ines M del Puerto - University of Extremadura (Spain)
Manuel Serrano Pastor - University of Extremadura (Spain)
Abstract: The estimation of the main parameters of partially observed branching processes from a Bayesian perspective is dealt with. Particle filtering methodologies are used, such as Liu and West's filter and particle learning. The accuracy of the proposed methodology is shown via simulated examples motivated by epidemiological applications and making use of the statistical software R.
