of disasters in a year and it's not so. information is there for you to peruse. and like that tells you like how wide. whether 0 is among the credible values. turns out to be the most difficult and. that we have about our model so the. how to model this then we'll we'll let. on O or built around theano which is a. these three parameters we can calculate. according to some distribution that. and run the whole thing and then you. ways the first way would be to general. samples which we discard and now. with a tilde sign and you can see the. lowing bugs you download this exe file. representing the density the highest. developed by Kevin Murphy and writes. indispensable and do a ton of work and. these sort of Bayesian methods actually. disaster data has like some missing data. inbox equal to treat all those books or. reasonably reasonably efficient for even. you have legacy code that is that is. drifts over time and we're going to like. that's actually a horrible assumption. very flexible about like doing whatever. this software for free by getting the. independent across the seasons and each. where now we want the joint posterior. points that I have it's just a numpy. 9f3baecc53
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