Marginal and joint space representations within ABC, and the issue of bias
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If you have a question about this talk, please contact Rachel Fogg.
In this talk we will discuss two representations of the target distribution within an ABC context (relating to a marginal and joint space representation of the target distribution). We will also discuss the bias arguments related to the paper by Sisson et al (2007). We will establish a set of unbiased ABC -SMC based algorithms, and finally provide an application.
This talk is part of the Signal Processing and Communications Lab Seminars series.
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