Adaptive density and regression estimation for weakly dependent data using Goldenshluger-Lepski (GL), with R/Python implementations, simulations, and visualization support.
python r statistics time-series reproducible-research regression simulations density-estimation kernel-density-estimation nonparametric-statistics bandwidth-selection adaptive-estimation goldenshluger-lepski weak-dependence
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Updated
Apr 4, 2026 - Jupyter Notebook