Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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CamDavidsonPilon
Chapter 1 | Mandatory coin-flip mislabeled prior | TFP version
Hi there,
The first line of the code for the Mandatory coin-flip example creates a random variable as follows:
rv_coin_flip_prior = tfp.distributions.Bernoulli(probs=0.5, dtype=tf.int32)
I think the variable name implies that it is the prior of the coin flip, however we know that in this example both the prior and the posterior come from a Beta distribution, not a Bernoulli.
I just think as the first example of a Bayesian approach it can be a bit misleading. Maybe a name like rv_coin_flip_data would be more suitable.
@Makan-Ar I think you are right. Each coin-flip is drawn from a Bernoulli distribution. However, the consecutive draws by which we would like to check the fairness of the coin follow a Beta distribution. Hence this should also be the prior with innovations (and a the log-likelihood) from the Bernoulli distribution.
@CamDavidsonPilon What do you think?
