| Year |
Citation |
Score |
| 2018 |
Martinková P, Goldhaber D, Erosheva E. Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability. Plos One. 13: e0203002. PMID 30289923 DOI: 10.1371/Journal.Pone.0203002 |
0.327 |
|
| 2017 |
Erosheva EA, Curtis SM. Dealing with Reflection Invariance in Bayesian Factor Analysis. Psychometrika. PMID 28290110 DOI: 10.1007/S11336-017-9564-Y |
0.321 |
|
| 2017 |
Wang YS, Matsueda RL, Erosheva EA. A variational EM method for mixed membership models with multivariate rank data: An analysis of public policy preferences The Annals of Applied Statistics. 11: 1452-1480. DOI: 10.1214/17-Aoas1034 |
0.312 |
|
| 2013 |
White TA, Erosheva EA. Using group-based latent class transition models to analyze chronic disability data from the National Long-Term Care Survey 1984-2004. Statistics in Medicine. 32: 3569-89. PMID 23553714 DOI: 10.1002/Sim.5782 |
0.372 |
|
| 2013 |
Gruhl J, Erosheva EA, Crane PK. A semiparametric approach to mixed outcome latent variable models: Estimating the association between cognition and regional brain volumes Annals of Applied Statistics. 7: 2361-2383. DOI: 10.1214/13-Aoas675 |
0.338 |
|
| 2012 |
Telesca D, Erosheva EA, Kreager DA, Matsueda RL. Modeling Criminal Careers as Departures from a Unimodal Population Age-Crime Curve: The Case of Marijuana Use. Journal of the American Statistical Association. 107: 1427-1440. PMID 24504416 DOI: 10.1080/01621459.2012.716328 |
0.366 |
|
| 2010 |
Airoldi EM, Erosheva EA, Fienberg SE, Joutard C, Love T, Shringarpure S. Reconceptualizing the classification of PNAS articles. Proceedings of the National Academy of Sciences of the United States of America. 107: 20899-904. PMID 21078953 DOI: 10.1073/Pnas.1013452107 |
0.587 |
|
| 2007 |
Erosheva EA, Fienberg SE, Joutard C. DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA. The Annals of Applied Statistics. 1: 346-384. PMID 21687832 DOI: 10.1214/07-Aoas126 |
0.517 |
|
| 2005 |
Erosheva EA. Comparing latent structures of the Grade of Membership, rasch, and latent class models Psychometrika. 70: 619-628. DOI: 10.1007/S11336-001-0899-Y |
0.391 |
|
| 2005 |
Erosheva EA, Fienberg SE. Bayesian mixed membership models for soft clustering and classification Studies in Classification, Data Analysis, and Knowledge Organization. 11-26. DOI: 10.1007/3-540-28084-7-2 |
0.517 |
|
| 2004 |
Erosheva E, Fienberg S, Lafferty J. Mixed-membership models of scientific publications. Proceedings of the National Academy of Sciences of the United States of America. 101: 5220-7. PMID 15020766 DOI: 10.1073/Pnas.0307760101 |
0.541 |
|
| 2003 |
Robert CP, Meng XL, Møller J, Rosenthal JS, Jennison C, Hurn MA, Al-Awadhi F, McCullagh P, Andrieu C, Doucet A, Dellaportas P, Papageorgiou I, Ehlers RS, Erosheva EA, Fienberg SE, et al. Discussion on the paper by Brooks, Giudici and Roberts Journal of the Royal Statistical Society. Series B: Statistical Methodology. 65: 39-55. DOI: 10.1111/1467-9868.03712 |
0.383 |
|
| 2002 |
Erosheva EA, Fienberg SE, Junker BW. Alternative statistical models and representations for large sparse multi-dimensional contingency tables Annales De La Faculté Des Sciences De Toulouse MathéMatiques. 11: 485-505. DOI: 10.5802/Afst.1035 |
0.498 |
|
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