An R package for selecting variables in regression models
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Updated
Dec 21, 2015 - R
An R package for selecting variables in regression models
A library of smoothing kernels in multiple languages for use in kernel regression and kernel density estimation.
This function estimates value of statistic used in "Brunner Munzel test" with given two sample arrays.
We prove continuity of the limit distribution function of certain multiscale test statistics which are used in nonparametric curve estimation.
R package to implement 2D wavelet decompositions for irregularly spaced and irregularly shaped data
Implementation of Maris & Oostenvald 2007 method
Assignments and exercises from Advanced Econometrics 1&2
A small, header-only, fast C shared library with ML/nonparametrix algorithms for researchers and developers
Partial Order Scalogram Analysis with Base Co-ordinates
Codes for "A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging" Copyright (C) 2018 Zhou Lan ([email protected]) - All Rights Reserved
Replication and simulations on "Applied Nonparametric Instrumental Variables Estimation" by Horowitz (2011) using R
R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.
blopmatch: Matching Estimator based on a Bilevel Optimization Problem
Lecture on Local Polynomial Regression given for the Statistical Machine Learning exam at University of Trieste
Jackstrap created by Sousa e Stosic (2005). The package detects outliers in efficiency measurement with big samples.
Distribution-free test for general differences in two populations
🔵 Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data
Continuation to Data Analysis using more mathematical approach.
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
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