danielsaggau/causal_ml

Repo for essay on structural causal models

A Gentle Introduction into SCM

Repo for essay on structural causal models

Association-based Concepts	Causal Concepts
Correlation	Randomization
Regression	Confounding
Conditional Independence	Disturbance
Likelihood	Error Terms
Odds Ratio	Structural Coefficients
Propensity Score	Spurious Correlation

Table: Concepts in Causality and Association concepts

Pearl Causal Hierachy

Method	CBN	SCM
Prediction	$\boldsymbol{\cdot}$ Unstable	$\boldsymbol{\cdot}$ Stable
	$\boldsymbol{\cdot}$ Volatile to parameter changes	$\boldsymbol{\cdot}$ More Natural Specification
	$\boldsymbol{\cdot}$ Re-Estimate entire model	$\boldsymbol{\cdot}$ Only estimate $\Delta$ CM
Intervention	$\boldsymbol{\cdot}$ Costly for Non-Markovian Models	$\boldsymbol{\cdot}$ Pot. Cyclic Representation
	$\boldsymbol{\cdot}$ Unstable(Nature CP)	$\boldsymbol{\cdot}$ Stable(Nature Eq.)
	$\boldsymbol{\cdot}$ Only generic estimates($\Delta$ CP)	$\boldsymbol{\cdot}$ Context specific(Invariance of Eq.)
Counterfactuals	$\boldsymbol{\cdot}$ Impossible	$\boldsymbol{\cdot}$ Possible
	$\boldsymbol{\cdot}$ no information on latent factors($\epsilon$)	$\boldsymbol{\cdot}$ Inclusion of latent factors

Causal Inference and Time