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Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Lastly, we investigate the problem of adaptivity of the total variation denoiser to these smaller Sobolev function spaces.
Selective Sequential Model Selection
Extending the selected-model tests of Fithian et al. (2014), we construct p-values for each step in the path which account for the adaptive selection of the model path using the data.
Efficient Implementations of the Generalized Lasso Dual Path Algorithm
We consider efficient implementations of the generalized lasso dual path algorithm of Tibshirani and Taylor (2011).
Tests in adaptive regression via the Kac-Rice formula
We derive an exact p-value for testing a global null hypothesis in a general adaptive regression problem.
Methodology
