- L. Burusheva, V. Temlyakov, “Sparse approximation of individual functions”, Journal of Approximation Theory, 259, 2020, 105471
- Tzu-Chang F. Cheng, Ching-Kang Ing, Shu-Hui Yu, “Toward optimal model averaging in regression models with time series errors”, Journal of Econometrics, 189, № 2, 2015, 321
- Tze Leung Lai, Hongsong Yuan, “Stochastic Approximation: From Statistical Origin to Big-Data, Multidisciplinary Applications”, Statist. Sci., 36, № 2, 2021
- Artur R. Valiullin, Albert R. Valiullin, Alexei P. Solodov, “Sharp sufficient condition for the convergence of greedy expansions with errors in coefficient computation”, Demonstratio Mathematica, 55, № 1, 2022, 254
- A.V. Dereventsov, V.N. Temlyakov, “A unified way of analyzing some greedy algorithms”, Journal of Functional Analysis, 277, № 12, 2019, 108286
- Ching-Kang Ing, Tze Leung Lai, “Discussion on “Two-Stage Procedures for High-Dimensional Data” by Makoto Aoshima and Kazuyoshi Yata”, Sequential Analysis, 30, № 4, 2011, 404
- Magali Champion, Christine Cierco-Ayrolles, Sébastien Gadat, Matthieu Vignes, “Sparse regression and support recovery with L2-Boosting algorithms”, Journal of Statistical Planning and Inference, 155, 2014, 19
- Ching-Kang Ing, “Model selection for high-dimensional linear regression with dependent observations”, Ann. Statist., 48, № 4, 2020
- Gérard Biau, Benoît Cadre, Advances in Contemporary Statistics and Econometrics, 2021, 23
- E. D. Livshits, “Realizability of greedy algorithms”, Proc. Steklov Inst. Math., 273, № S1, 2011, 107