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09 abc amis analysis bayes bayesian bayesian statistics bootstrap bridge bridge sampling carlo choice conjugate core course data decision defensive eindhoven entropy factor foundations frequentist generalised gibbs sampling harmonic harmonic mean harold iii implementation importance inference jeffreys jump linear maxent maximum mcmc mean metropolis-hastings metropolis-hastings algorithm model models monte monte carlo methods nested nested sampling nonparametrics normal obayes objective of oxford particles prior priors probability r ratio regression reversible rjmcmc royal sampling savagedickey selection simulation society software statistical statistics tests theory warwick yes less
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