I dont know why but this tutorial is really approachable and makes the idea clear.

Awesome high level overview of bayesian non-parametrics by Zoubin Ghahramani

http://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf

https://www.ee.washington.edu/techsite/papers/documents/UWEETR-2010-0006.pdf

CVPR2012 tutorial applied bayesian non-parametrics

http://cs.brown.edu/~sudderth/bnpCVPR12/materials.html

http://cs.brown.edu/~sudderth/bnpCVPR12/resources.html

http://cs.brown.edu/courses/csci2950-p/lectures.html

http://www.cs.princeton.edu/courses/archive/fall07/cos597C/syllabus.html

Topics in Machine Learning: Bayesian Methods for Machine Learning

http://www.cs.utoronto.ca/~radford/csc2541.S11/

http://www.cs.berkeley.edu/~jordan/courses/294-fall09/lectures/nonparametric/

Best place for DP chapter 2 of thesis

http://cs.brown.edu/~sudderth/papers/sudderthPhD.pdf

http://www.cs.toronto.edu/~radford/mixmc.abstract.html

http://www.cs.toronto.edu/~radford/ftp/bmm.pdf

http://www.cs.utoronto.ca/~radford/ftp/review.pdf

http://www.cs.toronto.edu/~radford/ftp/mixmc.pdf

http://www.cs.toronto.edu/~radford/ftp/mixsplit.pdf

http://www.cs.berkeley.edu/~jordan/papers/hdp.pdf

http://books.nips.cc/papers/files/nips18/NIPS2005_0130.pdf

http://books.nips.cc/papers/files/nips19/NIPS2006_0716.pdf

http://npbayes.wikidot.com/references

Awesome high level overview of bayesian non-parametrics by Zoubin Ghahramani

http://mlg.eng.cam.ac.uk/pub/pdf/Gha12.pdf

https://www.ee.washington.edu/techsite/papers/documents/UWEETR-2010-0006.pdf

CVPR2012 tutorial applied bayesian non-parametrics

http://cs.brown.edu/~sudderth/bnpCVPR12/materials.html

http://cs.brown.edu/~sudderth/bnpCVPR12/resources.html

http://cs.brown.edu/courses/csci2950-p/lectures.html

http://www.cs.princeton.edu/courses/archive/fall07/cos597C/syllabus.html

Topics in Machine Learning: Bayesian Methods for Machine Learning

http://www.cs.utoronto.ca/~radford/csc2541.S11/

http://www.cs.berkeley.edu/~jordan/courses/294-fall09/lectures/nonparametric/

Best place for DP chapter 2 of thesis

http://cs.brown.edu/~sudderth/papers/sudderthPhD.pdf

http://www.cs.toronto.edu/~radford/mixmc.abstract.html

http://www.cs.toronto.edu/~radford/ftp/bmm.pdf

http://www.cs.utoronto.ca/~radford/ftp/review.pdf

http://www.cs.toronto.edu/~radford/ftp/mixmc.pdf

http://www.cs.toronto.edu/~radford/ftp/mixsplit.pdf

http://www.cs.berkeley.edu/~jordan/papers/hdp.pdf

http://books.nips.cc/papers/files/nips18/NIPS2005_0130.pdf

http://books.nips.cc/papers/files/nips19/NIPS2006_0716.pdf

http://npbayes.wikidot.com/references

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