Off-the-grid prediction and testing for linear combination of translated features
Author:
Affiliation:
1. CREST, ENSAE, IP Paris, France
2. CERMICS, École des Ponts, France
3. EDF R&D, Palaiseau, France
Publisher
Institute of Mathematical Statistics
Reference21 articles.
1. Ingster, Y. I., Tsybakov, A. B. and Verzelen, N. (2010). Detection boundary in sparse regression. Electron. J. Stat. 4 1476–1526.
2. Giné, E. and Nickl, R. (2016). Mathematical foundations of infinite-dimensional statistical models. Cambridge Series in Statistical and Probabilistic Mathematics, [40]. Cambridge University Press, New York.
3. Baraud, Y. (2002). Non-asymptotic minimax rates of testing in signal detection. Bernoulli 8 577–606.
4. Candès, E. J. and Fernandez-Granda, C. (2013). Super-resolution from noisy data. J. Fourier Anal. Appl. 19 1229–1254.
5. Boyer, C., De Castro, Y. and Salmon, J. (2017). Adapting to unknown noise level in sparse deconvolution. Inf. Inference 6 310–348.
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