Highly Influenced

@article{Zhou2013NegativeBP, title={Negative Binomial Process Count and Mixture Modeling}, author={Mingyuan Zhou and Lawrence Carin}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2013}, volume={37}, pages={307-320} }

- Published 2013 in IEEE Transactions on Pattern Analysis and Machine…
DOI:10.1109/TPAMI.2013.211

The seemingly disjoint problems of count and mixture modeling are united under the negative binomial (NB) process. A gamma process is employed to model the rate measure of a Poisson process, whose normalization provides a random probability measure for mixture modeling and whose marginalization leads to an NB process for count modeling. A draw from the NB process consists of a Poisson distributed finite number of distinct atoms, each of which is associated with a logarithmic distributed number… CONTINUE READING

Highly Cited

This paper has 92 citations. REVIEW CITATIONS

Citations per Year

Semantic Scholar estimates that this publication has **93** citations based on the available data.

See our **FAQ** for additional information.

Showing 1-10 of 69 references

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential