Publications

  1. Manrique-Vallier, D. (Mar. 2024). “Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield”. Biometrics 80.1, ujad030.

    [ Pre-Print ][ Supplement ][ Computer Code ]

  2. Manrique-Vallier, D., Ball, P., and Sadinle, M. (2022). “Capture-Recapture for Casualty Estimation and beyond: Recent Advances and Research Directions”. In: Statistics in the Public Interest: In Memory of Stephen E. Fienberg. Ed. by Alicia L. Carriquiry, Judith M. Tanur, and William F. Eddy. New York: Springer International Publishing. Chap. 2, pp. 15–31.

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  3. Manrique-Vallier, D. (2020). “Book Review: Capture-Recapture Methods for the Social and Medical Sciences–Böhning, Van Der Heijden and Bunge, Eds.” The American Statistician 74.2, pp. 207–208.

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  4. Johndrow, J. E., Lum, K., and Manrique-Vallier, D. (2019). “Low-Risk Population Size Estimates in the Presence of Capture Heterogeneity”. Biometrika 106.1, pp. 197–210.

  5. Manrique-Vallier, D. and Ball, P. (2019). “Reality and Risk: A Refutation of S. Rend’on’s Analysis of the Peruvian Truth and Reconciliation Commission’s Conflict Mortality Study”. Research & Politics 6.1.

    [ PDF ][ Supplement ][ Computer Code ]

  6. Manrique-Vallier, D. and Hu, J. (2018). “Bayesian Nonparametric Generation of Fully Synthetic Multivariate Categorical Data in the Presence of Structural Zeros”. Journal of the Royal Statistical Society: Series A (statistics in Society).

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  7. Manrique-Vallier, D. (Dec. 2016). “Bayesian Population Size Estimation Using Dirichlet Process Mixtures”. Biometrics 72.4 (4), pp. 1246–1254. ppublish.

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  8. Carrig, M. M., Manrique-Vallier, D., Ranby, K. W., Reiter, J. P., and Hoyle, R. H. (2015). “A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets”. Multivariate Behavioral Research 50.4, pp. 383–397.

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  9. Manrique-Vallier, D. and Reiter, J. P. (2017). “Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data”. Journal of the American Statistical Association 112.520, pp. 1708–1719.

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  10. Manrique-Vallier, D. (2014a). “Longitudinal Mixed Membership Trajectory Models for Disability Survey Data”. Annals of Applied Statistics 8, pp. 2268–2291.

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  11. Manrique-Vallier, D. and Reiter, J. P. (2014). “Bayesian Multiple Imputation for Large-Scale Categorical Data with Structural Zeros”. Survey Methodology 40.1, pp. 125–134.

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  12. Manrique-Vallier, D. and Reiter, J. P. (2014). “Bayesian Estimation of Discrete Multivariate Latent Structure Models with Structural Zeros”. Journal of Computational and Graphical Statistics 23.4, pp. 1061–1079.

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  13. Manrique-Vallier, D. and Reiter, J. P. (2012). “Estimating Identification Disclosure Risk Using Mixed Membership Models”. Journal of the American Statistical Association 107.500, pp. 1385–1394.

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  14. Fienberg, S. E. and Manrique-Vallier, D. (2009). “Integrated Methodology for Multiple Systems Estimation and Record Linkage Using a Missing Data Formulation”. AStA-Advances in Statistical Analysis 93.1, pp. 49–60.

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  15. Manrique-Vallier, D. and Fienberg, S. E. (2008). “Population Size Estimation Using Individual Level Mixture Models”. Biometrical Journal 50.6, pp. 1051–1063.

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  16. Gross, J. H. and Manrique-Vallier, D. (2014). “A Mixed Membership Approach to Political Ideology”. In: Handbook of Mixed Membership Models and Their Applications. Ed. by E. M. Airoldi, D. M. Blei, E. A. Erosheva, and S. E. Fienberg. Handbooks of Modern Statistical Methods. Chapman & Hall/CRC, pp. 119–138.

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  17. Manrique-Vallier, D. (2014b). “Mixed Membership Trajectory Models”. In: Handbook of Mixed Membership Models and Their Applications. Ed. by E. M. Airoldi, D. M. Blei, E. A. Erosheva, and S. E. Fienberg. Chapman & Hall/CRC, pp. 173–187.

  18. Manrique-Vallier, D., Price, M., and Gohdes, A. (2013). “Multiple Systems Estimation Techniques for Estimating Casualties in Armed Conflicts”. In: Counting Civilian Casualites: An Introduction to Recording and Estimating Nonmilitary Deaths in Conflicts. Ed. by T. B. Seybolt, J. D. Aronson, and B. Fischhoff. Studies in Strategic Peacebuilding. US: Oxford University Press. Chap. 9, pp. 165–182.

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  19. Fienberg, S. E. and Manrique-Vallier, D. (2011). “Log Linear Model Methods”. In: Modern Analysis of Customer Surveys. Ed. by R. Keneth and S. Salini. UK: John Wiley & Sons. Chap. 10, pp. 217–229.

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  20. Manrique-Vallier, D. and Fienberg, S. (2009). “Longitudinal Mixed-Membership Models for Survey Data on Disability”. In: Proceedings of the XXVth International Symposium on Methodology Issues. Statistics Canada. Statistics Canada.

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  21. Ball, P., Asher, J., Sulmont, D., and Manrique, D. (2003). How Many Peruvians Have Died? An Estimate of the Total Number of Victims Killed or Disappeared in the Armed Internal Conflict between 1980 and 2000. AAAS. Report to the Peruvian Truth and Reconciliation Commission (CVR). Also published as Anexo 2 (Anexo Estadístico) of CVR Report.

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Submitted and Working

  • Manrique-Vallier, D., Ball,P. and Sulmont, D. (2019) “Estimating the Number of Fatal Victims of the Peruvian Internal Armed Conflict, 1980-2000: an application of modern multi-list Capture-Recapture techniques” [Pre-Print pdf] [ArXiv]

Other

  • My PhD. Dissertation:

    Manrique-Vallier, D. (2010). “Logitudinal Mixed Membership Models with Applications to Survey Disability Data”. PhD thesis. Department of Statistics. Carnegie Mellon University.

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