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Robins et al.
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[author] Robins, JamesJ., Li, LinglingL., Tchetgen Tchetgen, EricE. and van der Vaart, AadA. (2008). Higher order influence functions and minimax estimation of nonlinear functionals. In Probability and Statistics: Essays in Honor of David A. Freedman 335–421. Institute of Mathematical Statistics
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[author] Tchetgen Tchetgen, EricE., Li, LinglingL., Robins, JamesJ. and van der Vaart, AadA. (2008). Minimax estimation of the integral of a power of a density. Statistics & Probability Letters 78 3307–3311
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[author] Baker, RoseR. (2008). An order-statistics-based method for constructing multivariate distributions with fixed marginals. Journal of Multivariate Analysis 99 2312–2327
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[author] Robins, JamesJ., Li, LinglingL., Tchetgen Tchetgen, EricE. and van der Vaart, AadA. (2008). Higher order influence functions and minimax estimation of nonlinear functionals. In Probability and Statistics: Essays in Honor of David A. Freedman 335–421. Institute of Mathematical Statistics
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2010
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[author] Li, LinglingL., Tchetgen Tchetgen, EricE., van der Vaart, AadA. and Robins, James MJ. M. (2011). Higher order inference on a treatment effect under low regularity conditions. Statistics & Probability Letters 81 821–828
2011
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[author] Tchetgen Tchetgen, Eric JE. J. and Shpitser, IlyaI. (2012). Semiparametric theory for causal mediation analysis: Efficiency bounds, multiple robustness and sensitivity analysis. The Annals of Statistics 40 1816–1845
2012
Cited alongside, same era.
[author] Vershynin, RomanR. (2012). How close is the sample covariance matrix to the actual covariance matrix? Journal of Theoretical Probability 25 655–686
2012
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[author] Cattaneo, Matias DM. D., Jansson, MichaelM. and Ma, XinweiX. (2019). Two-step estimation and inference with possibly many included covariates. The Review of Economic Studies 86 1095–1122
2019
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[author] Cattaneo, Matias DM. D., Farrell, Max HM. H. and Feng, YingjieY. (2020). Large sample properties of partitioning-based series estimators. The Annals of Statistics 48 1718–1741
2020
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[author] Liu, LinL., Mukherjee, RajarshiR. and Robins, James MJ. M. (2020). On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning. Statistical Science 35 518–539
2020
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[author] Cattaneo, Matias DM. D., Farrell, Max HM. H. and Feng, YingjieY. (2020). Large sample properties of partitioning-based series estimators. The Annals of Statistics 48 1718–1741
2020
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[author] van der Vaart, AadA. (2014). Higher Order Tangent Spaces and Influence Functions. Statistical Science 29 679–686
2014
Cited alongside, same era.
[author] Belloni, AlexandreA., Chernozhukov, VictorV., Chetverikov, DenisD. and Kato, KengoK. (2015). Some new asymptotic theory for least squares series: Pointwise and uniform results. Journal of Econometrics 186 345–366
2015
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[author] Chen, XiaohongX. and Christensen, Timothy MT. M. (2015). Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions. Journal of Econometrics 188 447–465
2015
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[author] Belloni, AlexandreA., Chernozhukov, VictorV., Chetverikov, DenisD. and Kato, KengoK. (2015). Some new asymptotic theory for least squares series: Pointwise and uniform results. Journal of Econometrics 186 345–366
2015
Cited alongside, same era.
[author] Chen, XiaohongX. and Christensen, Timothy MT. M. (2015). Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions. Journal of Econometrics 188 447–465
2015
Cited alongside, same era.
[author] Díaz, IvánI., Carone, MarcoM. and van der Laan, Mark JM. J. (2016). Second-order inference for the mean of a variable missing at random. The International Journal of Biostatistics 12 333–349
2016
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[author] Giné, EvaristE. and Nickl, RichardR. (2016). Mathematical foundations of infinite-dimensional statistical models 40. Cambridge University Press
2016
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2016
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[author] Ai, ChunrongC., Linton, OliverO., Motegi, KaijiK. and Zhang, ZhengZ. (2021). A unified framework for efficient estimation of general treatment models. Quantitative Economics 12 779–816
2021
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[author] Armstrong, Timothy BT. B. and Kolesár, MichalM. (2021). Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness. Econometrica 89 1141–1177
2021
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[author] Hirshberg, David AD. A. and Wager, StefanS. (2021). Augmented minimax linear estimation. The Annals of Statistics 49 3206–3227
2021
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[author] Liu, LinL., Mukherjee, RajarshR., Robins, James MJ. M. and Tchetgen Tchetgen, EricE. (2021). Adaptive estimation of nonparametric functionals. Journal of Machine Learning Research 22 1–66
2021
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[author] Rotnitzky, AndreaA., Smucler, EzequielE. and Robins, James MJ. M. (2021). Characterization of parameters with a mixed bias property. Biometrika 108 231–238
2021
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2021
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[author] Liu, LinL., Mukherjee, RajarshR., Robins, James MJ. M. and Tchetgen Tchetgen, EricE. (2021). Adaptive estimation of nonparametric functionals. Journal of Machine Learning Research 22 1–66
2021
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[author] Bhattacharya, RohitR., Nabi, RaziehR. and Shpitser, IlyaI. (2022). Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. Journal of Machine Learning Research 23 1–76
2022
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[author] Ichimura, HidehikoH. and Newey, Whitney KW. K. (2022). The influence function of semiparametric estimators. Quantitative Economics 13 29–61
2022
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[author] Xu, SiqiS., Liu, LinL. and Liu, ZhonghuaZ. (2022). DeepMed: Semiparametric causal mediation analysis with debiased deep learning. Advances in Neural Information Processing Systems 35 28238–28251
2022
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[author] Kennedy, Edward HE. H. (2023). Towards optimal doubly robust estimation of heterogeneous causal effects. Electronic Journal of Statistics 17 3008–3049
2023
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2023
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[author] Cui, YifanY., Pu, HongmingH., Shi, XuX., Miao, WangW. and Tchetgen Tchetgen, EricE. (2024). Semiparametric proximal causal inference. Journal of the American Statistical Association 119 1348–1359
2024
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[author] Kennedy, Edward HE. H., Balakrishnan, SivaramanS., Robins, James MJ. M. and Wasserman, LarryL. (2024). Minimax rates for heterogeneous causal effect estimation. The Annals of Statistics 52 793–816
2024
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[author] Liu, LinL., Mukherjee, RajarshiR. and Robins, James MJ. M. (2024). Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators. Journal of Econometrics 240 105500
2024
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2024
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2025
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[author] Breunig, ChristophC. and Chen, XiaohongX. (2024). Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models. Econometrica 92 2027–2067
2067
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