Hyunseung Kang
Statistics and Probability · 2014–2022
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 89 citations into it; #4,478 of 12,932 by trust here, #4,371 by citations
- Genetics — 61 citations into it; #1,944 of 6,854 by trust here, #3,614 by citations
- Economics and Econometrics — 24 citations into it
- Causal Inference & Discovery — 23 citations into it
- Artificial Intelligence — 11 citations into it; #34,866 of 35,345 by trust here, #34,213 by citations
- Rheumatology — 11 citations into it; #47 of 221 by trust here, #115 by citations
- Computational Mechanics — 9 citations into it
- Statistical Learning Theory — 7 citations into it
Whom Hyunseung Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Robert Tibshirani
- George Davey Smith
- David L. Donoho
- Guido W. Imbens
- Dylan S. Small
- Joel A. Tropp
- Eric R. Ziegel
- E.J. Candes
- Alexandre Belloni
Who trusts Hyunseung Kang overall
- J. Bowden
- George Davey Smith
- F. Windmeijer
- Gibran Hemani
- Stephen Burgess
- E. Sanderson
- Qingyuan Zhao
- Zijian Guo
- Xiaoran Liang
- F. Hartwig
Papers from Hyunseung Kang's perspective
Ordered by how strongly the researchers Hyunseung Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Decoding by linear programming
- The central role of the propensity score in observational studies for causal effects
- The Elements of Statistical Learning
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Statistics and Causal Inference
- For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
- Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
- INFERENCE AND MISSING DATA
- Sparse Approximate Solutions to Linear Systems
Their papers
- Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index (2016) — 52 citations
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization (2014) — 328 citations
- Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting (2016) — 128 citations
- Mendelian randomization (2022) — 1,280 citations