🤠 📿 The Highly Adaptive Lasso

Cubic smoothing splines in Julia.

Multi-dimensional Functional Principal Component Analysis

Nonparametric regression and prediction using the highly adaptive lasso algorithm

The julia package for nonparametric density estimate and regression

📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

A statistical framework for feature selection and association mapping with 3D shapes

Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.

B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.

This repo contains the codes, images, report and slides for the first project of the course - MTH673A: Robust Statistical Methods at IIT Kanpur during the academic year 2022-2023.

Some R Code for My Paper

Companion Jupyter notebook of the paper "Functional Estimation of Anisotropic Covariance and Autocovariance Operators on the Sphere"

regression discontinuity design; incumbency effect; advanced econometrics

The state-of-the-art method for denoising 1D signals

Easy-to-use collection of statistical methods and techniques, all written in R 🗂

A collection of algorithms on the subjects written in R

Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste

Functions for conducting regression estimation on nonsmooth data

Here is a collection of machine learning methods implemented from scratch.