GitHub topics: two-sample-test
Piyushi-0/MMD-reg-OT
Code for our TMLR '24-ICML '25 work: MMD-Regularized UOT.
Language: Python - Size: 28.1 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 7 - Forks: 3
lukashaverbeck/rkhs
A unified framework for marginal and conditional two-sample testing with kernels in JAX.
Language: Python - Size: 50.8 KB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0
yeager20001118/AdapTesting
Tool box for Data Adaptive Hypothesis Testing
Language: Python - Size: 28.1 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 3 - Forks: 0
majianthu/pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Language: Python - Size: 1.42 MB - Last synced at: 18 days ago - Pushed at: 11 months ago - Stars: 165 - Forks: 32
majianthu/symmetry
Code for the paper "Testing symmetry with copula entropy based two-sample test"
Language: R - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
zhangxiany-tamu/KDist
A Collection of Kernel and Distance Methods for Statistical Inference
Language: R - Size: 6.17 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
majianthu/copent
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
Language: R - Size: 96.7 KB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 42 - Forks: 10
majianthu/cpd
Code for the paper "Change Point Detection with Copula Entropy based Two-Sample Test"
Language: R - Size: 67.4 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0
afarahi/tatter
TATTER (Two-sAmple TesT EstimatoR) is a tool to perform two-sample hypothesis test.
Language: Python - Size: 324 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
Black-Swan-ICL/PyRKHSstats
A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).
Language: Python - Size: 1.8 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 3
majianthu/tst
Code for the paper "Two-Sample Test with Copula Entropy"
Language: R - Size: 46.9 KB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
LouisFernando1204/InformaticsStudentsDataset
InformaticsStudentsDataset is a dataset containing dummy data of all informatics students from Institut Teknologi Sepuluh Nopember (ITS). This dataset is used for case analysis of 'One Sample Test' and 'Two Sample Test' in the repository (https://github.com/LouisFernando1204/InformaticsStudentsAnalysis).
Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
rgklab/detectron_xgb
Robust and Highly Sensitive Covariate Shift Detection using XGBoost
Language: Python - Size: 110 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
rgklab/detectron
Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
Language: Python - Size: 17.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 2
fengliu90/DK-for-TST
This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
Language: Python - Size: 6.74 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 44 - Forks: 10
KelvinLam05/ab_testing
Analysis of A/B test results by an e-commerce company. Application of hypothesis testing to determining whether the company should implement the new web page it developed to increase users' conversion rate.
Language: Jupyter Notebook - Size: 4.05 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
lorismichel/HPLB
R package - Implementation of high-probability lower bounds for the total variance distance (Michel et al., 2020)
Language: R - Size: 33.7 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
