Jelena Bradic

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	1111	804
h-индекс	18	17
i10-индекс	26	24

260

130

195

2011201220132014201520162017201820192020202120222023202411 16 28 39 29 37 61 81 80 109 136 174 244 53

Публичен достъп

Преглед на всички

15 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Yinchu ZhuAssistant Professor of Economics, Brandeis UniversityПотвърден имейл адрес: brandeis.edu
Jianqing FanProfessor of Statistics, Professor of Finance, Princeton UniversityПотвърден имейл адрес: princeton.edu
Jue HouUniversity of Minnesota Twin CitiesПотвърден имейл адрес: umn.edu
Davide VivianoDepartment of Economics, Harvard UniversityПотвърден имейл адрес: fas.harvard.edu
Runze LiPenn State UnviersityПотвърден имейл адрес: psu.edu
Bo PengUniversity of MinnesotaПотвърден имейл адрес: umn.edu
Jiancheng JiangUniversity of North CarolinaПотвърден имейл адрес: uncc.edu
Alexander Hanbo LiSenior Applied Scientist at AWS AI LabsПотвърден имейл адрес: amazon.com
Yi YuDepartment of Statistics, University of WarwickПотвърден имейл адрес: warwick.ac.uk
Rui SongNorth Carolina State UniversityПотвърден имейл адрес: ncsu.edu
Mladen KolarThe University of Chicago, Booth School of BusinessПотвърден имейл адрес: chicagobooth.edu
Ilya O. RyzhovRobert H. Smith School of Business, University of MarylandПотвърден имейл адрес: umd.edu
Stefan WagerGraduate School of Business, Stanford UniversityПотвърден имейл адрес: stanford.edu
Whitney NeweyProfessor of Economics, MITПотвърден имейл адрес: mit.edu
Victor ChernozhukovProfessor, Department of Economics + Center for Statistics and Data Science, MITПотвърден имейл адрес: mit.edu
Jiaqi GuoAmazonПотвърден имейл адрес: amazon.com
Jiayi HouUniversity of California, San DiegoПотвърден имейл адрес: ucsd.edu
James D MurphyUniversity of California San DiegoПотвърден имейл адрес: ucsd.edu
Bo HanAalborg UniversityПотвърден имейл адрес: es.aau.dk

Следене

Jelena Bradic

Full Professor of Statistics, Mathematics Department & Halicioglu Data Science Institute

Потвърден имейл адрес: math.ucsd.edu - Начална страница

Causal Inference High Dimensional Inference Robustness Machine Learning Missing Data


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Penalized composite quasi-likelihood for ultrahigh dimensional variable selection J Bradic, J Fan, W Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011	199	2011
Regularization for Cox’s proportional hazards model with NP-dimensionality J Bradic, J Fan, J Jiang Annals of statistics 39 (6), 3092, 2011	172	2011
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Y Zhu, J Bradic Journal of the American Statistical Association: Theory and Methods 113 (524 …, 2018	91	2018
Cultivating disaster donors: A case application of scalable analytics on massive data IO Ryzhov, B Han, J Bradic Management Science, 2013	52*	2013
Significance testing in non-sparse high-dimensional linear models Y Zhu, J Bradic Electronic Journal of Statistics 12 (2), 3312-3364, 2018	48*	2018
Sparsity Double Robust Inference of Average Treatment Effects J Bradic, S Wager, Y Zhu https://arxiv.org/abs/1905.00744, 2019	46	2019
A Tuning-free Robust and Efficient Approach to High-dimensional Regression (with a discussion) L Wang, B Peng, J Bradic, R Li, Y Wu Journal of the American Statistical Association: Theory and Methods, 2020	45*	2020
Confidence intervals for high-dimensional Cox model Y Yu, J Bradic, RJ Samworth Statistica Sinica, 2018	43	2018
Boosting in the presence of outliers: adaptive classification with non-convex loss functions AH Li, J Bradic Journal of the American Statistical Association: Theory and Methods 113 (522 …, 2018	37	2018
High-dimensional semi-supervised learning: in search for optimal inference of the mean Y Zhang, J Bradic https://arxiv.org/abs/1902.00772, 2019	30	2019
Uniform inference for high-dimensional quantile regression: linear functionals and regression rank scores J Bradic, M Kolar arXiv preprint arXiv:1702.06209, 55, 2017	27	2017
Fair Policy Targeting D Viviano, J Bradic arXiv preprint arXiv: 2005.12395, 2020	25*	2020
Testability of high-dimensional linear models with non-sparse structures J Bradic, J Fan, Y Zhu https://arxiv.org/abs/1802.09117, 2018	24*	2018
Robustness in sparse high-dimensional linear models: Relative efficiency and robust approximate message passing J Bradic	23*	2016
Synthetic learner: model-free inference on treatments over time D Viviano, J Bradic https://arxiv.org/abs/1904.01490, 2019	21*	2019
Censored quantile regression forests AH Li, J Bradic https://arxiv.org/abs/1902.03327, 2019	20	2019
Randomized maximum-contrast selection: subagging for large-scale regression J Bradic Electronic Journal of Statistics 10 (1), 121-170, 2016	20*	2016
Minimax semiparametric learning with approximate sparsity J Bradic, V Chernozhukov, WK Newey, Y Zhu arXiv preprint arXiv:1912.12213, 2019	19	2019
Structured estimation for the nonparametric Cox model J Bradic, R Song	18*	2015
Fixed effects testing in high-dimensional linear mixed models J Bradic, G Claeskens, T Gueuning Journal of the American Statistical Association: Theory & Methods, 2017	17	2017

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