Nonparametric Bootstrap Test with Pooled Resampling
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Updated
Jul 16, 2024 - R
Nonparametric Bootstrap Test with Pooled Resampling
Code for the Nadaraya-Watson Head - an interpretable/explainable, nonparametric classification head which can be used with any neural network
R package implementing nonparametric bounds for the ACE due to Balke and Pearl, JASA, 1997
Anisotropic smoothing for change-point regression data
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
Nonparameteric Estimation of Random Coefficients Model
Samples of my work in programming and data analysis.
Development version of the CptNonPar R package
Nonlinear Nonparametric Statistics
Performs a permutation test based on Watson's U2 statistic for 2-sample testing of circular data.
Compute the Kruskal-Wallis test for equal medians.
Wilcoxon signed rank test.
Robust estimations from distribution structures: Central moments.
Scikit-learn compatible estimation of general graphical models
Trimmed Spearman-Karber Method
Nonparametric Bootstrap Test with Pooled Resampling
Hierarchical Dirichlet Process Generalized Linear Models
R package to estimate time-varying coefficient regressions
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