🤠 📿 The Highly Adaptive Lasso
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- R
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nonparametric-regression
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The julia package for nonparametric density estimate and regression
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- Julia
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
machine-learning density-estimation nonparametric-regression causal-inference inverse-probability-weights propensity-score highly-adaptive-lasso conditional-density-estimates
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- R
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
statistics kernel kde estimation basis density maximum-likelihood nonparametric-regression kernel-density nonparametric kernel-density-estimation maximum-likelihood-estimation nonparametric-statistics bsplines spline-fit
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- MATLAB
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
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- R
Interpreter in Fortran that can handle scalars and 1D arrays, with access to intrinsics and statistical functions and plotting with gnuplot
calculator statistics interpreter fortran array plot expression probability-distribution probability-distributions spline-approximation gnuplot expression-parser expression-evaluator nonparametric-regression time-series-analysis finite-mixture robust-statistics array-programming finite-mixture-distributions array-programming-language
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- Fortran
A statistical framework for feature selection and association mapping with 3D shapes
r variable-selection r-package nonparametric-regression 3d-reconstruction topological-data-analysis shape-reconstruction shape-analysis 3d-shapes centrality-measures euler-characteristics topological-features topological-summary-statistics
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- R
Multi-dimensional Functional Principal Component Analysis
arrayfire pca functional-data-analysis nonparametric-regression local-polynomial-regression cv-partition
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- Jupyter Notebook
Nonparametric regression and prediction using the highly adaptive lasso algorithm
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- R
The state-of-the-art method for denoising 1D signals
data-science machine-learning signal-processing smoothing nonparametric-regression denoising trend-filtering
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- R
Simple local constant and local linear regressions in Julia
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- Julia
Varying Coefficient Regression for Group Testing Data
bayesian nonparametric-regression varying-coefficient-model group-testing stochastic-search-variable-selection gaussian-predictive-process
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- R
Easy-to-use collection of statistical methods and techniques, all written in R 🗂
bootstrap r statistics supervised-learning pca survival-analysis splines statistical-tests functional-data-analysis unsupervised-learning anova nonparametric-regression linear-models geostatistics manova gams permutation-test nonparametric-statistics conformal-prediction multivariate-gaussian
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- HTML
Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste
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- TeX
Classic metrics methods used in machine learning
machine-learning machine-learning-algorithms nonparametric-regression noise-reduction nadaraya-watson kernel-smoothing metrics-methods nadaraya-watson-regression
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- Jupyter Notebook
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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Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation.
sieve nonparametric-regression multivariate-regression penalized-regression nonparametric-statistics tensor-product classification-models high-dimensional-statistics
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- Python
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