This short paper discusses the role that normalized inverse-Gaussian priors assume in certain continuous-time models. These describe the time evolution of infinitely-many frequencies, together with a measure of their heterogeneity, based on an infinite normalized inverse-Gaussian sample, whose individuals are subject to random genetic drift and mutation in a randomly evolving environment.

On the role of normalized inverse-Gaussian priors in continuous-time models

RUGGIERO, MATTEO
2012-01-01

Abstract

This short paper discusses the role that normalized inverse-Gaussian priors assume in certain continuous-time models. These describe the time evolution of infinitely-many frequencies, together with a measure of their heterogeneity, based on an infinite normalized inverse-Gaussian sample, whose individuals are subject to random genetic drift and mutation in a randomly evolving environment.
2012
46th Meeting of the Italian Statistical Society
Rome
20-22/6/2012
Atti della XLVI Riunione Scientifica della Società Italiana di Statistica
Società Italiana di Statistica
1
4
9788861298828
Matteo Ruggiero
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/110294
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