tlverse/hal9001

🤠 📿 The Highly Adaptive Lasso

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nignatiadis/SmoothingSplines.jl

Cubic smoothing splines in Julia.

Language: Julia - Size: 35.2 KB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 36 - Forks: 14

panlanfeng/KernelEstimator.jl

The julia package for nonparametric density estimate and regression

Language: Julia - Size: 650 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 6

nhejazi/haldensify

:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

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jkirkby3/BsplineDensity

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

Language: MATLAB - Size: 24.4 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 3

stablemarkets/ChiRP

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

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lcrawlab/SINATRA

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

Language: R - Size: 547 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 4

tbeason/NonparametricRegression.jl

Simple local constant and local linear regressions in Julia

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benkeser/halplus

Nonparametric regression and prediction using the highly adaptive lasso algorithm

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nacro711072/MFPCA

Multi-dimensional Functional Principal Component Analysis

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terrytianyuzhang/Sieve

Source files for R package Sieve

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yizenglistat/rvcm4gt

Regularized Bayesian varying coefficient regression for group testing data

Language: R - Size: 15 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

paulinamoskwa/R-Stats

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

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rohitpatra/QuasiLSE

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.

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Zaroymi/metrics-methods-ml

Classic metrics methods used in machine learning

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EuanMcGonigle/TrendLSW

Development version of the TrendLSW R package

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merliseclyde/bark

bark R package for Bayesian nonparametric kernel regression

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matthieumeo/sphericov

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

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yh1008/incumbencyEffect

regression discontinuity design; incumbency effect; advanced econometrics

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jordandeklerk/sieve

Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation

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mwiecksosa/tvnpreg

Efficient nonparametric estimation of time-varying regression functions

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jrjthompson/anisotropicSmoothing

Anisotropic smoothing for change-point regression data

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jrjthompson/R-package-nonsmooth

Functions for conducting regression estimation on nonsmooth data

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pmellady/Machine-Learning-Implementations

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

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QVQZZZ/NopaPy

🛠「NopaPy」是一个开源易用的非参数统计Python库。

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capolitsch/trendfiltering

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

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maikol-solis/sobolnp

Nonparametric Sobol Estimator with Bootstrap Bandwidth

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lcrawlab/SINATRA_AoAS_Results

Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.

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ArkaB-DS/NPmodalReg

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.

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mullinix/cuda_linear_model_mc_bs

Language: Cuda - Size: 709 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

dfleis/hierbasis2

Rebuilding & adding some functionality to Haris et al.'s (2016) HierBasis library.

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