non-parametric-regression

Multivariate Mixed Effects Regression

Neural networks (and other highly questionable approaches) for time series forecasting via fable

XGBoost vs. Lasso/Ridge for Bay Area Commute Duration Prediction - OOS R² = 0.646

A Comparative study between Parametric and Non-parametric Regression (Gaussian Process) Models

Ce projet en R porte sur l’étude de la densité g et de la fonction de régression r de données où les xi et les yi sont les réalisations de variables aléatoires réelles

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

Coursework for an R (STSCI @ Cornell) class on Statistical Computing (2025)

🛠「NopaPy」是一个开源易用的非参数统计Python库。

Robust Smooth Heterogeneous Treatment Effect Estimation using Causal Machine Learning

An R package to compute net survival transition probabilities in an illness-death model using binomial regression

Time Series Forecasting using Kernel Regression optimized with Whale Optimization Algorithm (WOA), evaluated on M3 dataset and compared with 24 benchmark models using MAPE and RMSE.