Talk by Professor Erin Conlon

Professor Erin Conlon of the Mathematics & Statistics Department at UMass Amherst is going to give a talk for GRiD on Bayesian Methods in Data Science.


In this talk, I will give a general introduction to Bayesian methods and their implementation through Markov chain Monte Carlo techniques. A real-world large data set will illustrate the use of Bayesian models, and highlight their advantages. I will also introduce methods for parallel computing with Bayesian models in data science and big data; these methods use subset data when the full data set cannot be analyzed in its entirety.

You can find Professor Conlon’s website here. After her talk, we will put our new knowledge to the test on the dataset from the previous week.

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