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Approximate Bayesian computation: a simulation based approach to inference
Richard Wilkinson
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Oznake: computer science;machine learning;bayesian learning
There is a large class of stochastic models for which we can simulate observations from the model, but for which the likelihood function is unknown. Without knowledge of the likelihood function standard inference techniques such as Markov Chain Monte Carlo are impossible, as the unnormalized likelih ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 1
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