Výsledky vyhledávání - "del Puerto, I."

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Approximate Bayesian Computation in controlled branching processes: the role of summary statistics

Autor: González, M., Martínez, R., Minuesa, C., del Puerto, I.

Controlled branching processes are stochastic growth population models in which the number of individuals with reproductive capacity in each generation is controlled by a random control function. The purpose of this work is to examine the Approximate

Externí odkaz: http://arxiv.org/abs/1803.04235

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Robust estimation in controlled branching processes: Bayesian estimators via disparities

Autor: González, M., Minuesa, C., del Puerto, I., Vidyashankar, A. N.

This paper is concerned with Bayesian inferential methods for data from controlled branching processes that account for model robustness through the use of disparities. Under regularity conditions, we establish that estimators built on disparity-base

Externí odkaz: http://arxiv.org/abs/1802.05917

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Maximum likelihood estimation and Expectation-Maximization algorithm for controlled branching processes

Autor: Gonzalez, M., Minuesa, C., del Puerto, I.

The controlled branching process is a generalization of the classical Bienaym\'e-Galton-Watson branching process. It is a useful model for describing the evolution of populations in which the population size at each generation needs to be controlled.

Externí odkaz: http://arxiv.org/abs/1407.5341

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