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Really nice story. All the Bayesian stuff now gets swamped by big data method. There must be a time machine learning people will come back to the Bayesian womb.
by MrQuincle 11y ago
Really nice story. All the Bayesian stuff now gets swamped by big data method. There must be a time machine learning people will come back to the Bayesian womb. :-)
I'm currently using it to define priors on measure spaces. I think it's awesome to have so few abstractions in a discipline and be able to do inference anyway. I'd definitely recommend to look into Dirichlet Processes if you haven't before. It's a nice entry point.
- deleted 11y ago[deleted]
- huac 11y agoWharton's Pete Fader would agree with you somewhat that big data-style methods are overblown: http://www.datanami.com/2012/05/03/wharton_professor_pokes_hole_in_big_data_balloon/ http://www.datanami.com/2012/05/03/wharton_professor_pokes_h... he also has some very cool uses of dirichlet processes (modelling entire competitive industries)