Google Scholar profile: https://scholar.google.com/citations?user=s1Qk4qgAAAAJ&hl=en&oi=ao
9. Zhilova, M. (2022). New Edgeworth-type expansions with finite sample guarantees. The Annals of Statistics. 50(5):2545–2561. doi:10.1214/22-AOS2192, arxiv:2006.03959.
8. Koltchinskii, V. and Zhilova, M. (2021). Estimation of smooth functionals of location parameter in Gaussian and Poincaré random shift models. Sankhya A. 83: 569–596. doi:10.1007/s13171-020-00232-1.
7. Koltchinskii, V. and Zhilova, M. (2021). Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency. The Annals of Statistics. 49(5): 2577–2610. doi:10.1214/20-AOS2047.
6. Koltchinskii, V. and Zhilova, M. (2021). Efficient Estimation of Smooth Functionals in Gaussian Shift Models. Annales de l'Institut Henri Poincaré. 57(1):351–386. doi:10.1214/20-AIHP1081.
5. Zhilova, M. (2020). Nonclassical Berry–Esseen inequalities and accuracy of the bootstrap. The Annals of Statistics. 48(4):1922–1939. doi:10.1214/18-AOS1802, arxiv:1611.02686.
4. Zhilova, M. (2015). Simultaneous likelihood-based bootstrap confidence sets for a large number of models. arxiv:1506.05779.
3. Spokoiny, V. and Zhilova, M. (2015). Bootstrap confidence sets under model misspecification. The Annals of Statistics. 43(6):2653–2675. doi:10.1214/15-AOS1355.
2. Zhilova, M. M. and Spokoiny, V. G. (2013). Uniform properties of the local maximum likelihood estimate. Automation and Remote Control. 74(10):1656–1669. doi:10.1134/S0005117913100068.
1. Spokoiny, V. and Zhilova, M. (2013). Sharp deviation bounds for quadratic forms. Mathematical Methods of Statistics. 22(2):100–113. doi:10.3103/S1066530713020026.
PhD thesis: Bootstrap confidence sets under model misspecification, (2015). Online publication.