Likelyhood computation in chapter 3 about probabilistic-programming-and-bayesian-methods-for-hackers HOT 3 CLOSED

Good question,

stats.poisson.rvs accepts, as a first argument, the parameter lambda of the poisson distribution, denoted p_1_true in this example (though that is a poor name, and I will change it). With lambda set, we can draw data (read: samples) from the Poisson distribution.

Remember, we only see the data, never the parameters. Hence our likelihood accepts the data, and we use it to perform inference on the unknown lambda.

Does this help?

from probabilistic-programming-and-bayesian-methods-for-hackers.

Yes this helps, may be a simple comment in the code can help the reader understand.

from probabilistic-programming-and-bayesian-methods-for-hackers.

will do, thanks.

from probabilistic-programming-and-bayesian-methods-for-hackers.