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Adventures in Bayesian Computation Markov chains, priors, and DAGs, oh my!

Markov chains, priors, and DAGs, oh my!

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Adventures in Bayesian Computation Markov chains, priors, and DAGs, oh my!

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Markov chains, priors, and DAGs, oh my!

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The site had the following in the homepage, "Markov chains, priors, and DAGs, oh my! A Followup Note on TLTWD." I noticed that the web site stated " You dont need MCMC for a simple problem like this, but I went ahead and used JAGS to sample from the posterior for the customer-retention model described in my earlier post, The Likelihood That Wouldnt Die." They also stated " Heres the model I used. Is the lifetime of customer. 8216;s contract, minus 1; the variable. Is a lower bound on. Is defined to be 0 if."

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