Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.

A dashboard to visualize cryptocurrency implied volatility surfaces constructed with option data from Binance.

Easily smooth your data in Julia

Simple local constant and local linear regressions in Julia

Nonparametric Doubly Robust Inference on Dose-Response Curve and its Derivative

PRESS: Predictive State Smoothing in Python (tf.keras)

Classic metrics methods used in machine learning

Tutorials on kernel smoothing techniques

Final project for the course Advanced Statistical Methods in Skoltech

Kernel density estimation on the polysphere, hypersphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests

Building a few linear models to predict 2-week ahead COVID-19 case counts.

Python and R packages for "Nonparametric Inference on Dose-Response Curves Without the Positivity Condition"