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Understanding Causal Inference
  • A Guide to Causal Inference
  • Table of Contents
  • About-us
  • Preface
  • What is Causality?
  • Why bother with Causality?
  • Origin of Causality
  • Statistical Inference Vs Causal Inference
  • Decision-Making
  • Why we need Causality?
    • Leaders in the Industry
  • Key Causal Terms and FAQ
  • Assumptions
    • Causal Assumptions
  • Bias
    • Selection Bias
    • Correlation is not Causation
      • Simpsons Paradox
  • Causal Graphs
    • Colliders
    • Confounders
    • Mediators
    • Back Door Paths
    • Front Door Paths
    • Structural Causal Model
    • do-calculus
    • Graph Theory
    • Build your DAG
    • Testable Implications
    • Limitations of Causal Graphs
  • Counterfactuals
    • Potential Outcomes Framework
  • Modeling for Causal Inference
    • Experimental Data
      • Randomization
        • Problems with Randomization
        • A/B Testing
          • Experiment
    • Non-Experimental / Observational Data
      • Instrumental Variables
      • Weighting
        • Inverse Propensity Weighting
      • Propensity Score
      • Sensitivity Analysis
      • Regression Discontinuity
      • Matching
      • Stratification
        • Methods
        • Implications
  • Tools and Libraries
    • DoWhy
      • Do-Sampler
      • EconML
      • Workflow
    • Causal Graphical Models
    • CausalInference
    • Dagitty
    • Other Libraries
  • Limitations of Causal Inference
    • Fundamental Problem of Causal Inference
  • Real-World Implementations
  • What's Next
  • References
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  • Abhishek Dabas
  • Abhijit Krishna Menon
  • Professor Nik Bear Brown (Mentor)

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About-us

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Last updated 4 years ago

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Abhishek Dabas

Abhishek Dabas is a Graduate Student of the Information Systems Program at Northeastern University.

Abhijit Krishna Menon

Abhijit is a Graduate student in the Master's of Data Analytics program at Northeastern University. He is currently working as a Machine Learning Researcher in the 'Cyber-Security and Privacy Institute'. His research is focussed on the action classification of Smart Devices from Network files. Alongside this, Abhijit is also working on understanding Causal Inference and building more interpretable models.

His hobbies include playing chess, reading, and volunteering in community services.

Professor Nik Bear Brown (Mentor)

Assistant teaching professor at Northeastern University

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