implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
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Updated
Sep 18, 2020 - Jupyter Notebook
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lasso-variants
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SparseStep: Approximating the Counting Norm for Sparse Regularization
r feature-selection sparse-regression regularized-linear-regression sparse-regularization lasso-variants
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Updated
Jan 12, 2021 - R
Testing procedures for Super-Resolution, i.e. testing spikes from low frequency measurements.
testing statistics statistical-learning inference statistical-tests spike-deconvolution spike-inference superresolution spacings gaussian-process-regression spike-detection lasso-variants
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Updated
May 5, 2022 - Jupyter Notebook
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