alecksanduh.papers.club
~alecksanduh.papers.club
9 papers, 3 read, 6 to read
groups: asymptotics, empirical processes, semiparametrics, estimation theory
Takatsu, K., & Kuchibhotla, A. K. (2025). Honest Inference for Stochastic Optimization.
Note: Have done a skim, need to go through more details
Kennedy, E. H. (2022). Semiparametric doubly robust targeted double machine learning: a review.
Pollard, D. (2011). Some thoughts on Le Cam's statistical decision theory.
Hines, O., Dukes, O., Diaz-Ordaz, K., et al. (2022). Demystifying statistical learning based on efficient influence functions. The American Statistician.
Bhattacharya, S., Fan, J., & Mukherjee, D. (2024). Deep Neural Networks for Nonparametric Interaction Models with Diverging Dimension. Annals of Statistics.
Robins, J., & Vaart, A. v. d. (2006). Adaptive nonparametric confidence sets. The Annals of Statistics.
Kormos, M., & Vaart, A. v. d. (2026). Private Rate-Double-Robust Inference.
Chatterjee, N., Chen, Y.-H., Maas, P., et al. (2016). Constrained Maximum Likelihood Estimation for Model Calibration Using Summary-level Information from External Big Data Sources. Journal of the American Statistical Association.
Caner, M. (2009). Lasso-Type GMM Estimator. Econometric Theory.
No papers tagged [semiparametric] here.
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