Misclassified multinomial data: a Bayesian approach.

Pérez, Carlos Javier, et al. "Misclassified multinomial data: a Bayesian approach.." RACSAM 101.1 (2007): 71-80. <http://eudml.org/doc/41665>.

@article{Pérez2007,
abstract = {In this paper, the problem of inference with misclassified multinomial data is addressed. Over the last years there has been a significant upsurge of interest in the development of Bayesian methods to make inferences with misclassified data. The wide range of applications for several sampling schemes and the importance of including initial information make Bayesian analysis an essential tool to be used in this context. A review of the existing literature followed by a methodological discussion is presented in this paper.},
author = {Pérez, Carlos Javier, Girón, F. Javier, Martín, Jacinto, Ruiz, Manuel, Rojano, Carlos},
journal = {RACSAM},
keywords = {contingency tables; MCMC; misclassified data; multinomial sampling},
language = {eng},
number = {1},
pages = {71-80},
title = {Misclassified multinomial data: a Bayesian approach.},
url = {http://eudml.org/doc/41665},
volume = {101},
year = {2007},
}

TY - JOUR
AU - Pérez, Carlos Javier
AU - Girón, F. Javier
AU - Martín, Jacinto
AU - Ruiz, Manuel
AU - Rojano, Carlos
TI - Misclassified multinomial data: a Bayesian approach.
JO - RACSAM
PY - 2007
VL - 101
IS - 1
SP - 71
EP - 80
AB - In this paper, the problem of inference with misclassified multinomial data is addressed. Over the last years there has been a significant upsurge of interest in the development of Bayesian methods to make inferences with misclassified data. The wide range of applications for several sampling schemes and the importance of including initial information make Bayesian analysis an essential tool to be used in this context. A review of the existing literature followed by a methodological discussion is presented in this paper.
LA - eng
KW - contingency tables; MCMC; misclassified data; multinomial sampling
UR - http://eudml.org/doc/41665
ER -