Bayesian inference from count data using discrete uniform priors.
We consider a set of sample counts obtained by sampling arbitrary fractions of a finite volume containing an homogeneously dispersed population of identical objects. We report a Bayesian derivation of the posterior probability distribution of the population size using a binomial likelihood and non-c...
Guardado en:
Autores principales: | Federico Comoglio, Letizia Fracchia, Maurizio Rinaldi |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a5f1839fbee145c7aef10beb53db7c63 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Bayesian Inference under Small Sample Sizes Using General Noninformative Priors
por: Jingjing He, et al.
Publicado: (2021) -
A topological framework for the computation of the HOMFLY polynomial and its application to proteins.
por: Federico Comoglio, et al.
Publicado: (2011) -
A Bayesian inference framework to reconstruct transmission trees using epidemiological and genetic data.
por: Marco J Morelli, et al.
Publicado: (2012) -
Bayesian inference of population prevalence
por: Robin AA Ince, et al.
Publicado: (2021) -
Inferring visuomotor priors for sensorimotor learning.
por: Edward J A Turnham, et al.
Publicado: (2011)