Jelena Bradić

University of California, San Diego — United States

Mathematics · Physical Sciences

12h-index786citations73works1.22yr avg
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Research Topics

Statistical Methods and Inference(57), Statistical Methods and Bayesian Inference(26), Advanced Causal Inference Techniques(25), Advanced Statistical Methods and Models(11), Sparse and Compressive Sensing Techniques(10)

Publications73 total

Doubly robust estimation under a possibly misspecified marginal structural Cox model
Biometrika·2024· 4 citedOpen Access
Causal inference through multi-stage learning and doubly robust deep neural networks
arXiv (Cornell University)·2024Open Access
High-dimensional inference for dynamic treatment effects
The Annals of Statistics·2024· 2 cited
ACM/IMS <i>Journal of Data Science</i> : Inaugural Issue Editorial
ACM / IMS Journal of Data Science·2024Open Access
Adaptive Split Balancing for Optimal Random Forest
arXiv (Cornell University)·2024Open Access
Doubly Robust Estimation under Possibly Misspecified Marginal Structural Cox Model
arXiv (Cornell University)·2023Open Access
Semiparametrically Efficient Score for the Survival Odds Ratio
arXiv (Cornell University)·2023Open Access
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
arXiv (Cornell University)·2023Open Access
Double robust semi-supervised inference for the mean: selection bias under MAR labeling with decaying overlap
Information and Inference A Journal of the IMA·2023· 8 cited
Semiparametrically Efficient Score for the Survival Odds Ratio
SSRN Electronic Journal·2023Open Access
Fair Policy Targeting
Journal of the American Statistical Association·2022Open Access
Synthetic Learner: Model-free inference on treatments over time
Journal of Econometrics·2022· 17 cited
Testability of high-dimensional linear models with nonsparse structures
The Annals of Statistics·2022· 22 citedOpen Access
Dynamic treatment effects: high-dimensional inference under model misspecification
arXiv (Cornell University)·2021Open Access
High-dimensional Inference for Dynamic Treatment Effects
arXiv (Cornell University)·2021· 1 citedOpen Access
High-dimensional semi-supervised learning: in search of optimal inference of the mean
Biometrika·2021· 6 citedOpen Access
Treatment Effect Estimation Under Additive Hazards Models With High-Dimensional Confounding
Journal of the American Statistical Association·2021· 10 citedOpen Access
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
arXiv (Cornell University)·2021· 4 citedOpen Access
Comments on Leo Breiman's paper 'Statistical Modeling: The Two Cultures' (Statistical Science, 2001, 16(3), 199-231)
arXiv (Cornell University)·2021Open Access
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Yinchu Zhu(9), Ronghui Xu(4), Yuqian Zhang(4), Jianqing Fan(3), Davide Viviano(3), Jue Hou(3), Alexander Hanbo Li(2), Yi Yu(2), Richard J. Samworth(2), Mladen Kolar(2), Rui Song(2), Abhishek Chakrabortty(2), Yuqian Zhang(2), Denise Rava(2), Gerda Claeskens(2), Weijie Ji(2), Valentina Brzović Rajić(2), Ana Ivanišević Malčić(2), Željko Verzak(2), Weiwei Wang(1)