Jae Kwang Kim
Statistics and Probability · 2004–2018
A researcher in the Science corpus: 16 papers; trusts 34 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 67 citations into it; #1,791 of 12,932 by trust here, #2,108 by citations
- Sociology and Political Science — 18 citations into it; #7,501 of 22,756 by trust here, #9,840 by citations
- Artificial Intelligence — 11 citations into it; #21,304 of 35,345 by trust here, #29,412 by citations
- Economics and Econometrics — 6 citations into it; #17,475 of 23,481 by trust here, #18,597 by citations
Whom Jae Kwang Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Wayne A. Fuller
- Anastasios A. Tsiatis
- J. Rao
- James M. Robins
- D. Scharfstein
- Kani Chen
- Zhiqiang Tan
- Greg C. G. Wei
- Jiahua Chen
Who trusts Jae Kwang Kim overall
- Kosuke Morikawa
- Zhiqiang Tan
- M. Riddles
- Yilin Chen
- David Haziza
- S. Seaman
- Yutaka Kano
- J. Rao
- Irina Degtiar
- Sixia Chen
Papers from Jae Kwang Kim's perspective
Ordered by how strongly the researchers Jae Kwang Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- INFERENCE AND MISSING DATA
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- The central role of the propensity score in observational studies for causal effects
- Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
- Semiparametric Theory and Missing Data
- Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- Regression Shrinkage and Selection via the Lasso
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Doubly Robust Estimation in Missing Data and Causal Inference Models
Their papers
- On the bias of the multiple‐imputation variance estimator in survey sampling (2006) — 127 citations
- Doubly robust inference with missing data in survey sampling (2014) — 76 citations
- Fractional hot deck imputation (2004) — 155 citations
- Nonresponse weighting adjustment using estimated response probability (2007) — 100 citations
- Combining data from two independent surveys: a model-assisted approach (2012) — 94 citations
- Statistical Methods for Handling Incomplete Data (2013) — 195 citations
- A unified approach to linearization variance estimation from survey data after imputation for item nonresponse (2009) — 63 citations
- Parametric fractional imputation for missing data analysis (2011) — 140 citations
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data (2011) — 217 citations
- Replication Variance Estimation for Two-Phase Stratified Sampling (2006) — 56 citations
- An Instrumental Variable Approach for Identification and Estimation with Nonignorable Nonresponse (2014) — 215 citations
- Combining non‐probability and probability survey samples through mass imputation (2018) — 70 citations
- Semiparametric maximum likelihood estimation with data missing not at random (2017) — 51 citations
- A Propensity-score-adjustment Method for Nonignorable Nonresponse (2016) — 68 citations
- Calibration Estimation in Survey Sampling (2010) — 129 citations
- Calibration estimation using empirical likelihood in survey sampling (2009) — 49 citations