Non-linear regression models for Approximate Bayesian Computation

Statistics and Computing

Volumn 20, Issue 1, 2010, Pages 63-73

  Blum, Michael G B ^a   François, Olivier ^b  

^a LABORATOIRE TIMC IMAG   (France)

^b GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

Author keywords

Approximate Bayesian computation; Coalescent models; Conditional density estimation; Curse of dimensionality; Feed forward neural networks; Heteroscedasticity; Implicit statistical models; Importance sampling; Indirect inference; Likelihood free inference; Non linear regression

Indexed keywords

EID: 73549122582     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-009-9116-0     Document Type: Article

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