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