haku: @indexterm POISSON DISTRIBUTION / yhteensä: 27
viite: 7 / 27
Tekijä:Chib, S.
Greenberg, E.
Winkelmann, R.
Otsikko:Posterior simulation and Bayes factors in panel count data models.
Lehti:Journal of Econometrics
1998 : SEP, VOL. 86:1, p. 33-54
Asiasana:POISSON DISTRIBUTION
MARKOV CHAINS
MONTE CARLO TECHNIQUE
Kieli:eng
Tiivistelmä:The article is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the random effects and fixed effects is proposed and compared with a parameterization in common use, and computation of marginal likelihoods and Bays factors is also considered. The methods are illustrated with two real data applications and multiple random effects.
SCIMA tietueen numero: 178655
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