🤠 📿 The Highly Adaptive Lasso
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Updated
May 14, 2024 - R
🤠 📿 The Highly Adaptive Lasso
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
A statistical framework for feature selection and association mapping with 3D shapes
Nonparametric regression and prediction using the highly adaptive lasso algorithm
The state-of-the-art method for denoising 1D signals
Source files for R package Sieve
This is an R package to compute the multivariate quasiconvex/quasiconcave nonparametric LSE with or without additional monotonicity constraints described in "Least Squares Estimation of a Monotone Quasiconvex Regression Function" by Somabha Mukherjee, Rohit K. Patra, Andrew L. Johnson, and Hiroshi Morita.
Regularized Bayesian varying coefficient mixed models for group testing data
Development version of the TrendLSW R package
R-package nonsmooth -- Functions for conducting regression estimation on nonsmooth data
A collection of algorithms on the subjects written in R
Here is a collection of machine learning methods implemented from scratch.
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.
Nonparametric Sobol Estimator with Bootstrap Bandwidth
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