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1.

Rejoinder
by Airoldi, Edoardo M

Journal of the American Statistical Association, 01 October 2016, Vol.111(516), pp.1410-1412

2.

A natural experiment of social network formation and dynamics
by Tuan Q. Phan

Proceedings of the National Academy of Sciences, 26 May 2015, Vol.112(21), p.6595

4.

Tree preserving embedding
by Albert D. Shieh

Proceedings of the National Academy of Sciences, 11 October 2011, Vol.108(41), p.16916

5.

Reconceptualizing the classification of PNAS articles
by Edoardo M. Airoldi

Proceedings of the National Academy of Sciences, 07 December 2010, Vol.107(49), p.20899

6.

Estimating Latent Processes on a Network From Indirect Measurements
by Airoldi, Edoardo M

Journal of the American Statistical Association, 01 March 2013, Vol.108(501), pp.149-164

7.

Quantifying Condition-Dependent Intracellular Protein Levels Enables High-Precision Fitness Estimates
by Geiler-Samerotte, Kerry A.

Geiler-Samerotte, Kerry A., Tatsunori Hashimoto, Michael F. Dion, Bogdan A. Budnik, Edoardo M. Airoldi, and D. Allan Drummond. 2013. “Quantifying Condition-Dependent Intracellular Protein Levels Enables High-Precision Fitness Estimates.” PLoS ONE 8 (9): e75320. doi:10.1371/journal.pone.0075320. http://dx.doi.org/10.1371/journal.pone.0075320.

18.

Generalized Species Sampling Priors With Latent Beta Reinforcements
by Airoldi, Edoardo M

Journal of the American Statistical Association, 02 October 2014, Vol.109(508), pp.1466-1480

20.

Graphlet decomposition of a weighted network
by Soufiani, Hossein Azari

Journal of Machine Learning Research, Workshop & Conference Proceedings, vol. 22 (AISTATS), 2012

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