two-sample-test

There are 0 repository under two-sample-test topic.

• 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

  copula-entropymutual-informationcausal-discoveryvariable-selectiongranger-causalitytransfer-entropycorrelationnormality-testinformation-theorycausalitypythoncopulahypothesis-testingtwo-sample-testconditional-independence-testconditional-mutual-informationchange-point-detectionentropychange-detectionchangepoint
  Language:Python 135

• fengliu90 / DK-for-TST

  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

  hypothesis-testingtwo-sample-test
  Language:Python 44

• 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

  copulaentropyestiamtionmutualinfcopula-entropycausal-discoveryvariable-selectiontransfer-entropygranger-causalitycorrelationnormality-testinformation-theorymutual-informationrmachine-learningcausalitytwo-sample-testconditional-independence-testconditional-mutual-information
  Language:R 38

• Black-Swan-ICL / PyRKHSstats

  A Python package implementing a variety of statistical methods that rely on kernels (e.g. HSIC for independence testing).

  machine-learningkernel-methodsstatisticsindependence-testtwo-sample-testconditional-independence-test
  Language:Python 12

• rgklab / detectron

  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"

  distribution-shiftmachine-learningpytrochtwo-sample-testxgboost
  Language:Python 10

• afarahi / tatter

  TATTER (Two-sAmple TesT EstimatoR) is a tool to perform two-sample hypothesis test.

  kullback-leibler-divergencemmdtwo-sample-testtwo-sample-statisticsposterior-predictive
  Language:Python 2

• ekplesovskaya / Generative-Modelling-On-Small-Samples

  Code for the paper "An Empirical Analysis of KDE-based Generative Models on Small Datasets"

  kernel-density-estimationgenerative-modelsmall-datasetsynthetic-dataset-generationdataset-similaritytwo-sample-test
  Language:Python 1
• HPLB

  lorismichel / HPLB

  R package - Implementation of high-probability lower bounds for the total variance distance (Michel et al., 2020)

  classificationmachine-learningtwo-sample-test
  Language:R 1

• majianthu / cpd

  Code for the paper "Change Point Detection with Copula Entropy based Two-Sample Test"

  change-point-detectioncopula-entropytwo-sample-testcopulachangepoint
  Language:Python 1

• Piyushi-0 / MMD-reg-OT

  Code for our TMLR '24 Journal: MMD-Regularized UOT.

  barycenterdomain-adaptationmmdoptimal-transportprompt-learningpytorchtwo-sample-testwasserstein
  Language:Python 1

• rgklab / detectron_xgb

  Robust and Highly Sensitive Covariate Shift Detection using XGBoost

  distribution-shiftmachine-learningtwo-sample-testxgboost
  Language:Python 1

• majianthu / tst

  Code for the paper "Two-Sample Test with Copula Entropy"

  copula-entropyhypothesis-testingtwo-sample-test
  Language:R 0

• 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.

  z-testab-testinghypothesis-testingconversion-ratetwo-sample-test
  Language:Jupyter Notebook