Daniel Manrique-Vallier
Daniel Manrique-Vallier
Department of Statistics, Indiana University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
P Ball, J Asher, D Sulmont, D Manrique
Report to the Peruvian Commission for Truth and Justice (CVR), Washington, DC, 2003
A Mixed Membership Approach to Political Ideology
JH Gross, D Manrique-Vallier
Handbook of Mixed Membership Models and Their Applications, 119-139, 2014
Bayesian Population Size Estimation Using Dirichlet Process Mixtures
D Manrique-Vallier
Biometrics, 2016
Bayesian estimation of discrete multivariate latent structure models with structural zeros
D Manrique-Vallier, JP Reiter
Journal of Computational and Graphical Statistics 23 (4), 1061-1079, 2014
Multiple systems estimation techniques for estimating casualties in armed conflicts
D Manrique-Vallier, ME Price, A Gohdes
Counting Civilian Casualties: An Introduction to Recording and Estimating …, 2013
Population size estimation using individual level mixture models
D Manrique‐Vallier, SE Fienberg
Biometrical Journal: Journal of Mathematical Methods in Biosciences 50 (6 …, 2008
Estimating identification disclosure risk using mixed membership models
D Manrique-Vallier, JP Reiter
Journal of the American Statistical Association 107 (500), 1385-1394, 2012
Bayesian simultaneous edit and imputation for multivariate categorical data
D Manrique-Vallier, JP Reiter
Journal of the American Statistical Association 112 (520), 1708-1719, 2017
Integrated methodology for multiple systems estimation and record linkage using a missing data formulation
SE Fienberg, D Manrique-Vallier
AStA Advances in Statistical Analysis 93, 49-60, 2009
A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets
MM Carrig, D Manrique-Vallier, KW Ranby, JP Reiter, RH Hoyle
Multivariate behavioral research 50 (4), 383-397, 2015
Bayesian multiple imputation for large-scale categorical data with structural zeros
D Manrique-Vallier, JP Reiter
Survey Methodology, 2013
Bayesian non‐parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros
D Manrique‐Vallier, J Hu
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2018
Longitudinal mixed membership trajectory models for disability survey data
D Manrique-Vallier
The annals of applied statistics 8 (4), 2268, 2014
Reality and risk: A refutation of S. Rendón’s analysis of the Peruvian Truth and Reconciliation Commission’s conflict mortality study
D Manrique-Vallier, P Ball
Research & Politics 6 (1), 2053168019835628, 2019
Low-risk population size estimates in the presence of capture heterogeneity
JE Johndrow, K Lum, D Manrique-Vallier
Biometrika 106 (1), 197-210, 2019
Estimating the Number of Fatal Victims of the Peruvian Internal Armed Conflict, 1980-2000: an application of modern multi-list Capture-Recapture techniques
D Manrique-Vallier, P Ball, D Sulmont
arXiv preprint arXiv:1906.04763, 2019
NPBayesImpute: Non-Parametric Bayesian Multiple Imputation for Categorical Data
Q Wang, D Manrique-Vallier, JP Reiter, J Hu
R package version 0.6, 2016
Logitudinal Mixed Membership Models with Applications to Survey Disability Data
D Manrique-Vallier
Ph. D. thesis, Department of Statistics. Carnegie Mellon University, 2010
Capture-recapture for casualty estimation and beyond: recent advances and research directions
D Manrique-Vallier, P Ball, M Sadinle
Statistics in the Public Interest: In Memory of Stephen E. Fienberg, 15-31, 2021
Mixed membership trajectory models
D Manrique-Vallier
Handbook of Mixed Membership Models and Their Applications. New York, NY …, 2014
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