Dean, TA and Singh, SS (2011) Asymptotic behaviour of approximate Bayesian estimators. Technical Report. Cambridge University Engineering Department.Full text not available from this repository.
Although approximate Bayesian computation (ABC) has become a popular technique for performing parameter estimation when the likelihood functions are analytically intractable there has not as yet been a complete investigation of the theoretical properties of the resulting estimators. In this paper we give a theoretical analysis of the asymptotic properties of ABC based parameter estimators for hidden Markov models and show that ABC based estimators satisfy asymptotically biased versions of the standard results in the statistical literature.
|Item Type:||Monograph (Technical Report)|
|Additional Information:||Unmapped Imported Data : Issn = 0951-9211|
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron Job|
|Date Deposited:||28 Oct 2011 17:06|
|Last Modified:||22 Oct 2012 01:12|
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