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:

 

        P. Martinkova, D Goldhaber and E.A. Erosheva Disparities in Ratings of Internal and External Applicants: A Case for Model-Based Inter-Rater Reliability, PloS ONE (2018), 13(10): e0203002.

        M. Griffin, K. Gile, K.I.Fredriksen-Goldsen, M. S., Handcock and E.A. Erosheva A Simulation-based Framework for Assessing Feasibility of Respondent-Driven Sampling for Estimating Characteristics in Polulation of Lesbian, Gay, and Bisexual Older Adults, Annals of Applied Statistics (2018), 12(4): 2252-2278.

        Y.-C. Chen, Y.S. Wang, and E.A. Erosheva On the Use of Bootstrap with Variational Inference: Theory, Interpretation, and a Two-Sample Test Example, Annals of Applied Statistics (2018), 12(2): 846-876.

        E. A. Erosheva, H.-J. Kim, C. A. Emlet, and K. I. Fredriksen-Goldsen. Social Networks of Lesbian, Gay, Bisexual and Transgender Older Adults, Research 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.

        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 Articles, Proceedings 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 Survey, Journal 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. 

        E. A.Erosheva Grade of Membership and Latent Structure Models with Application to Disability Survey Data, PhD dissertation (2002)