Fetching the paper…
Reading the bibliography…
In the November 2016 U.S.
On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known
Deming, W. E. and F. F. Stephan (1940) · 1940
Earlier work this paper cites.
A Generalization of Sampling Without Replacement From a Finite Universe Author ( s ): D . G . Horvitz and D . J . Thompson Published by : American Statistical Association Stable URL : http://www.jstor.org/stable/2280784
Horvitz, D. G. and D. Thompson (1952) · 1952
Earlier work this paper cites.
Some results on generalized difference estimation and generalized regression estimation for finite populations
Cassel, C. M., C.-E. Sarndal, and J. H. Wretman (1976) · 1976
Earlier work this paper cites.
Inference and Missing Data
Rubin, D. B. (1976) · 1976
Earlier work this paper cites.
Nonnegative regression estimation in sample survey data
Huang, E. T. and W. A. Fuller (1978) · 1978
Earlier work this paper cites.
Models for contingency tables with known margins when target and sampled populations differ
Little, R. J. and M. M. Wu (1991) · 1991
Earlier work this paper cites.
Calibration estimators in survey sampling
Deville, J. C. and C. E. Särndal (1992) · 1992
Earlier work this paper cites.
Generalized raking procedures in survey sampling
Deville, J. C., C. E. Särndal, and O. Sautory (1993) · 1993
Earlier work this paper cites.
Estimation of Regression Coefficients When Some Regressors are not Always Observed
Robins, J. M., A. Rotnitzky, L. Ping Zhao, and L. Ping ZHAO (1994) · 1994
Earlier work this paper cites.
Poststratification Into Many Categories Using Hierarchical Logistic Regression
Gelman, A. and T. C. Little (1997) · 1997
Earlier work this paper cites.
A ridge-shrinkage method for range-restricted weight calibration in survey sampling
Rao, J. N. K. and A. C. Singh (1997) · 1997
Earlier work this paper cites.
Random forests
Breiman, L. (2001) · 2001
Earlier work this paper cites.
Greedy Function Approximation : A Gradient Boosting Machine
Friedman, J. (2001) · 2001
Earlier work this paper cites.
The mixed model for survey regression estimation
Park, M. and W. A. Fuller (2009) · 2009
Earlier work this paper cites.
BART: Bayesian additive regression trees
Chipman, H. A., E. I. George, and R. E. McCulloch (2010) · 2010
Earlier work this paper cites.
Penalized calibration in survey sampling: Design-based estimation assisted by mixed models
Guggemos, F. and Y. Tillé (2010) · 2010
Earlier work this paper cites.
Reliable inference in highly stratified contingency tables: Using latent class models as density estimators
Linzer, D. A. (2011) · 2011
Earlier work this paper cites.
Deep interactions with MRP: Election turnout and voting patterns among small electoral subgroups
Ghitza, Y. and A. Gelman (2013) · 2013
Cited alongside, same era.
Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data
Zubizarreta, J. R. (2015) · 2015
Cited alongside, same era.
CCES Common Content, 2016
Ansolabehere, S. and B. F. Schaffner (2017) · 2016
Cited alongside, same era.
An Evaluation of the 2016 Election Polls in the United States
Kennedy, C., M. Blumenthal, S. Clement, J. D. Clinton, C. Durand, C. Franklin, K. McGeeney, L. Miringoff, K. Olson, D. Rivers, L. Saad, G. E. Witt, and C. Wlezien (2018) · 2016
Cited alongside, same era.
As Election Nears, Voters Divided Over Democracy and ‘Respect’
Pew Research Center (2016, 10) · 2016
Cited alongside, same era.
Model-Assisted Survey Estimation with Modern Prediction Techniques
Breidt, F. J. and J. D. Opsomer (2017) · 2017
Minimax Linear Estimation of the Retargeted Mean
Hirshberg, D. A., A. Maleki, and J. Zubizarreta (2019) · 2019
Later among the works it cites.
Response rates in telephone surveys have resumed their decline
Kennedy, C. and H. Hartig (2019) · 2019
Later among the works it cites.
High-Dimensional Statistics: A Non-Asymptotic Viewpoint
Wainwright, M. J. (2019) · 2019
Later among the works it cites.
Covariate balancing propensity score by tailored loss functions
Zhao, Q. (2019) · 2019
Later among the works it cites.
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Zhao, Q., D. S. Small, and B. B. Bhattacharya (2019) · 2019
Later among the works it cites.
Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias
Caughey, D., A. J. Berinsky, S. Chatfield, E. Hartman, E. Schickler, and J. S. Sekhon (2020) · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Target selection as variable selection: Using the lasso to select auxiliary vectors for the construction of survey weights
Caughey, D. and E. Hartman (2017) · 2017
Cited alongside, same era.
Model-assisted survey regression estimation with the lasso
McConville, K. S., F. J. Breidt, T. C. Lee, and G. G. Moisen (2017) · 2017
Cited alongside, same era.
Approximate residual balancing: debiased inference of average treatment effects in high dimensions
Athey, S., G. W. Imbens, and S. Wager (2018) · 2018
Cited alongside, same era.
For weighting online opt-in samples, what matters most
Mercer, A., A. Lau, and C. Kennedy (2018) · 2018
Cited alongside, same era.
Tree-Based Models for Political Science Data
Montgomery, J. M. and S. Olivella (2018) · 2018
Cited alongside, same era.
Kernel-based covariate functional balancing for observational studies
Wong, R. K. W., K. Chuen, and G. Chan (2018) · 2018
Cited alongside, same era.
Later among the works it cites.
Balancing Versus Modeling Approaches to Weighting in Practice
Chattopadhyay, A., Christopher H. Hase, and J. R. Zubizarreta (2020) · 2020
Later among the works it cites.
Overlap in observational studies with high-dimensional covariates
D’Amour, A., P. Ding, A. Feller, L. Lei, and J. Sekhon (2020) · 2020
Later among the works it cites.
Improving multilevel regression and poststratification with structured priors
Gao, Y., L. Kennedy, D. Simpson, A. Gelman, et al. (2020) · 2020
Later among the works it cites.
Robust estimation of causal effects via a high-dimensional covariate balancing propensity score
Ning, Y., P. Sida, and K. Imai (2020) · 2020
Later among the works it cites.
Bayesian hierarchical weighting adjustment and survey inference
Si, Y., R. Trangucci, J. S. Gabry, and A. Gelman (2020) · 2020
Later among the works it cites.
Minimal dispersion approximately balancing weights: Asymptotic properties and practical considerations
Wang, Y. and J. R. Zubizarreta (2020) · 2020
Later among the works it cites.
Doubly robust inference when combining probability and non-probability samples with high dimensional data
Yang, S., J. K. Kim, and R. Song (2020) · 2020
Later among the works it cites.
Doubly robust inference with nonprobability survey samples
Chen, Y., P. Li, and C. Wu (2020) · 2021
Closest in time.
A kernel balancing approach for reducing specification assumptions in survey weighting
Hartman, E., C. Hazlett, and C. Sterbenz (2021) · 2021
Closest in time.
Sensitivity analysis for balancing weights
Soriano, D., E. Ben-Michael, P. Bickel, A. Feller, and S. Pimentel (2021) · 2021
Closest in time.