Difference between revisions of "Learning Resources"

(Bayesian nonparametrics resources)
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== Bayesian Nonparametrics ==
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* [http://stat.columbia.edu/~porbanz/npb-tutorial.html Peter Orbanz' website]
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* [https://ac.els-cdn.com/S0010027709000675/1-s2.0-S0010027709000675-main.pdf?_tid=657290fd-bbe2-4091-8421-08fb0ddb4bf8&acdnat=1544463842_6ee3b26397aade4fd4dd19560e1fbcd0 An example] of Dirichlet processes applied to computational cognitive science (language learning from statistical regularities in speech).
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* [https://cocosci.berkeley.edu/tom/papers/indivdiffs_jmp.pdf An example] of Dirichlet processes applied to individual differences.
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* [https://scholar.google.ca/citations?user=rr8pZoUAAAAJ&hl=en&oi=ao Any of the papers] of Radford Neal.
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* The PhD theses of [http://www-stat.wharton.upenn.edu/~stjensen/papers/shanejensen.phdthesis04.pdf Shane Jensen], [http://cs.brown.edu/~sudderth/papers/sudderthPhD.pdf Erik Sudderth], and [https://lib.dr.iastate.edu/etd/13787/ Derek Blythe].
  
 
== General Computational Neuroscience ==
 
== General Computational Neuroscience ==

Revision as of 20:38, 11 December 2018

Bayesian Nonparametrics

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