Edited Book:

http://images.tandf.co.uk/common/jackets/amazon/978146650/9781466504080.jpg

Handbook of Mixed Membership Models and Their Applications, Chapman & Hall/CRC (2014)

(co-edited with E. M. Airoldi, D. M. Blei, and S.E. Fienberg)

 

 

 


Selected papers:

 

·        E. A. Erosheva, H.-J. Kim, C. A. Emlet, and K. I. Fredriksen-Goldsen. “Social Networks of Lesbian, Gay, Bisexual and Transgender Older AdultsResearch on Aging (2015).

·        E. A. Erosheva and C. Joutard. “Estimating Diagnostic Error without Gold Standard: A Mixed Membership Approach,'” Handbook on Mixed-Membership Models (E.M. Airoldi, D.M. Blei, E.A. Erosheva, and S.E. Fienberg, eds.), Chapman & Hall/CRC (2014).

·        E. A. Erosheva, R. L. Matsueda, and D. Telesca. “Breaking bad: Two decades of life-course data analysis in criminology, developmental psychology, and beyond.” Annual Review of Statistics and Its Application (2014), 1:301-332.

·        T. A. White and E. A. Erosheva. “Using group-based latent class transition models to analyze chronic disability data from the National Long-Term Care Survey 1984-2004.” Statistics in Medicine (2013), 32(20):3569-89.

·        J. Gruhl, E. A. Erosheva, and P.K. Crane “A Semiparametric Approach to Mixed Outcome Latent Variable Models: Estimations the Association Between Cognition and Regional Brain Volumes,’’ Annals of Applied Statistics (2013):Vol.7, No.2

·        D. Telesca, E. A. Erosheva, D. Kreager, and R. Matsueda. ``Modeling Criminal Careers as Departures from a Unimodal Age-Crime Curve: The Case of Marijuana Use,'' Journal of the American Statistical Association: Applications and Case Studies (2012), 107(500):1427-1440 (JASA featured article).

·         E. M. Airoldi, E. A. Erosheva, S. E. Fienberg, C. Joutard, T. Love, and S. Shringarpure. “Re-conceptualizing the Classification of PNAS ArticlesProceedings of the National Academy of Sciences (2010), 107(49): 20899-20904.

·         E. A. Erosheva and T. A. White. “Issues in survey measurement of chronic disability: An example from the National Long Term Care SurveyJournal of Official Statistics, (2010), 26(2):317-339.

·         D. A. Kreager, R. L. Matsueda, and E. A. Erosheva. Motherhood and criminal desistance in disadvantaged neighborhoods Criminology (2010), 41(1), 221-258.

·         E. A. Erosheva, S. E. Fienberg, and C. Joutard. Describing disability through individual-level mixture models for multivariate binary data. Annals of Applied Statistics (2007), Vol.1, No.2: 502-537.

·         E. A. Erosheva, E. C. Walton, and D. T. Takeuchi. Self-rated Health among Foreign- and US-born Asian Americans: A test of Comparability. Medical Care (2007), 45(1): 80-87.

·         E. A. Erosheva. Latent Class Representation of the Grade of Membership Model. Technical Report 492, Department of Statistics, University of Washington (2006).

·         E. A. Erosheva. Will the market bear your asking price? Chance (2005), 18(3), 23-28.

·         E. A. Erosheva. Comparing Latent Structures of the Grade of Membership, Rasch, and Latent Class Models.  Psychometrika (2005),70(4), 619-628. 

·         E. A. Erosheva, S.E. Fienberg, and J. Lafferty. Mixed-Membership Models of Scientific Publications. Proceedings of the National Academy of Sciences (2004), 101(Suppl.1), 5220-5227.

·         E. A. Erosheva. Partial Membership Models with Application to Disability Survey Data. In H. Bozdogan, ed., Statistical Data Mining and Knowledge Discovery, (2004) Chapman & Hall/CRC, 117-134.

·         E. A. Erosheva. Bayesian Estimation of the Grade of Membership Model.  Bayesian Statistics 7,
(J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid,  D. Heckerman, A.F.M. Smith  and M. West, eds) (2003) Oxford, UK: Oxford University Press.

·         E. A. Erosheva, S. E. Fienberg, and B. J. Junker. Alternative Statistical Models and Representations for Large Sparse Multi-dimensional Contingency Tables,   Annales de la Faculté des Sciences de l'Université de Toulouse  Mathématiques (2002), 11.