Hypothesis and statistical testing in Python
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
Perform inference on algorithm-agnostic variable importance in Python
My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.
Reproduce analyses from "Efficient nonparametric statistical inference on population feature importance using Shapley values"
A Python package for computing NPMLE of mixture of regression
A collection of various non-parametric tests.
Morozov discrepancy principle in statistical inverse problems with Poisson noise
Permutation Methods for Nonprobability Data
🛠「NopaPy」是一个开源易用的非参数统计Python库。
Nonparametric comparison of convolutional neural networks and transformers to classify COVID-19
Morozov discrepancy principle in statistical inverse problems with Poisson noise
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