Beskos, Alexandros and Papaspiliopoulos, Omiros and Roberts, Gareth O. and Fearnhead, Paul (2006) Observed diffusion processes (with discussion). Journal of the Royal Statistical Society: Series B (Statistical Methodology), 68 (3). pp. 333-382. ISSN 1369-7412
Full text not available from this repository.Abstract
The objective of the paper is to present a novel methodology for likelihood-based inference for discretely observed diffusions. We propose Monte Carlo methods, which build on recent advances on the exact simulation of diffusions, for performing maximum likelihood and Bayesian estimation.
Item Type:
      
        Journal Article
        
        
        
      
    Journal or Publication Title:
          Journal of the Royal Statistical Society: Series B (Statistical Methodology)
        Uncontrolled Keywords:
          /dk/atira/pure/subjectarea/asjc/2600/2613
        Subjects:
          ?? cox–ingersoll–ross model • em algorithm • graphical models • markov chain monte carlo methods • monte carlo maximum likelihood • retrospective samplingstatistics and probabilitystatistics, probability and uncertaintyqa mathematics ??
        Departments:
          
        ID Code:
          19744
        Deposited By:
          
        Deposited On:
          07 Nov 2008 15:36
        Refereed?:
          Yes
        Published?:
          Published
        Last Modified:
          19 Sep 2025 01:35
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