A cross-validation framework for signal denoising with applications to trend filtering, dyadic CART and beyond
Author:
Affiliation:
1. Department of Statistics, University of Illinois at Urbana Champaign
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference42 articles.
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3. ARNOLD, T. B., TIBSHIRANI, R. J., ARNOLD, M. T. and BYTECOMPILE, T. (2022). Package genlasso. Statistics 39 1335–1371.
4. CHATTERJEE, S. and GOSWAMI, S. (2021). Adaptive estimation of multivariate piecewise polynomials and bounded variation functions by optimal decision trees. Ann. Statist. 49 2531–2551.
5. CHATTERJEE, S. and GOSWAMI, S. (2021). New risk bounds for 2D total variation denoising. IEEE Trans. Inf. Theory 67 4060–4091.
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