Research output per year
Research output per year
Personal profile
Research interests
- statistical learning
- high-dimensional inference
- nonparametric curve estimation and related problems
- wavelets in statistics
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Dive into the research topics where Felix Abramovich is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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High-dimensional regression with a count response
Zilberman, O. & Abramovich, F., 2026, In: Communications in Statistics - Theory and Methods. 55, 10, p. 2916-2931 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Classification by sparse generalized additive models
Abramovich, F., 2024, In: Electronic Journal of Statistics. 18, 1, p. 2021-2041 21 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Generalization Error Bounds for Multiclass Sparse Linear Classifiers
Levy, T. & Abramovich, F., 2023, In: Journal of Machine Learning Research. 24, 151.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Statistical theory: A concise introduction
Abramovich, F. & Ritov, Y., 23 Dec 2022, Second ed. Boca Raton: Chapman & Hall, CRC Press. 237 p. (Chapman and Hall/CRC texts in statistical science)Research output: Book/Report › Book › peer-review
1 Scopus citations -
Multiclass classification by sparse multinomial logistic regression
Abramovich, F., Grinshtein, V. & Levy, T., Jul 2021, In: IEEE Transactions on Information Theory. 67, 7, p. 4637-4646 10 p., 9410597.Research output: Contribution to journal › Article › peer-review
Open Access37 Scopus citations