## The technique of joint likelihood …

I almost spat out my cereal this morning when reading this conference proceedings by Anderson et al. (2015) presenting “the technique of joint likelihoods“.  What’s the technique of joint likelihoods, you ask?  Just the most obvious thing that you’ve been doing since forever: when you have N separate datasets with individual likelihood functions, $L_i(\theta,\phi_i)$, for common parameters of interest, $\theta$, and nuisance parameters, $\phi_i$, the technique of joint likelihoods suggests that to perform inference on $\theta$ you multiply the likelihood functions together (as opposed to blowing them out your arse, I presume).

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### 6 Responses to The technique of joint likelihood …

1. lukebarnes says: