liuchbryan / oce-dataset

Related projects: ⓘ

• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆33Updated 2 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆124Updated 5 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆73Updated last week
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆62Updated 5 months ago
• industry-bandits / practical-bandits-tutorial
  ☆19Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆23Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆44Updated 7 months ago
• d2cml-ai / mgtecon634_py
  This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…
  ☆12Updated last year
• robjhyndman / reconciliation_review_talk
  ☆12Updated 3 years ago
• ewharton / ab-testing-resources
  ☆70Updated 4 months ago
• Nth-iteration-labs / contextual
  Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
  ☆79Updated 4 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆17Updated 4 months ago
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆19Updated this week
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆27Updated 2 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆74Updated 3 months ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆125Updated 3 years ago
• erik-stenberg / mixtureSPRT
  Package for mixture sequential probability ratio test
  ☆21Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆89Updated 8 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆58Updated 3 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆51Updated 4 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 3 years ago
• ehkennedy / npcausal
  ☆90Updated 8 months ago
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆54Updated 2 weeks ago
• jgitr / opossum
  ☆16Updated 5 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆55Updated 2 years ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated 11 months ago