I don’t think we’re clear on what simulation is NOT. RANDOMNESS IS NOT NECESSARY, for the simple reason randomness is merely a state of knowledge. Hence this classic post from 12 June […]
Review! This is our last week of theory. Next week the practical side begins in earnest. However much fun that will be, and it will be a jolly time, this is the […]
I was asked to comment on a post by Dan Simpson exploring the Bernstein-von Mises theorem. This post fits in with the Data Science class, a happy coincidence, and has been so […]
Review! Code coming next week! Last time we decided to put ourselves in the mind of a dean and ask for the chance of CGPA falling into one of these buckets: 0,1,2,3,4. […]
Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! We have all we […]
Review! We’re continuing with the CGPA example. The data is on line, and of unknown origin, but good enough to use as an example. We will build a correlational model, keeping ever […]
You must review: Part I, II. Not reviewing is like coming to class late and saying “What did I miss?” Note the New & Improved title! Here are the main points thus […]
Review! This class is neither frequentist nor Bayesian nor machine learning in theory. It is pure probability, and unlike any other class available. And for the right price! Last time we completed […]
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