User Lizzie Silver

9 votes

Accepted

Who conjectured that every correlation is caused by causal mechanisms?

answered Oct 8, 2015 at 22:06

9 votes

Does causation imply correlation?

answered Jan 23, 2019 at 13:00

7 votes

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Causal Markov condition simple explanation

answered Aug 20, 2016 at 21:56

7 votes

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Parental Markov Condition

answered Oct 15, 2014 at 21:34

5 votes

Using K-fold cross validation to select a model's parameters

answered Oct 20, 2014 at 23:10

5 votes

Introduction to causal analysis

answered Oct 13, 2014 at 0:20

5 votes

Accepted

Infer causality with high collinearity

answered Oct 21, 2014 at 2:58

5 votes

What is the difference between correlation, causation and prediction?

answered Apr 20, 2016 at 16:06

4 votes

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How to identify natural experiments?

answered Sep 18, 2022 at 12:07

4 votes

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Does a Bayesian network include the CPTs?

answered Nov 6, 2014 at 17:16

4 votes

Including confounders in a model

answered Oct 10, 2014 at 7:01

3 votes

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How to draw a Markov network graph for two or pair of variables

answered Nov 10, 2014 at 20:02

2 votes

Directed Graph to Regression Help

answered Nov 11, 2014 at 0:58

2 votes

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How to highlight a confounding variable?

answered Oct 19, 2015 at 4:38

2 votes

In Probabilistic Graphical Models, what does it mean that r.v. X influences r.v Y?

answered Nov 10, 2014 at 4:24

2 votes

Independence test

answered Oct 27, 2014 at 21:57

2 votes

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Deriving conditional independence statements for causal graphs with selection nodes

answered Jan 9 at 2:11

2 votes

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What if two players were playing the Monty Hall Game?

answered Oct 26, 2015 at 9:48

1 vote

To what extent is the distinction between correlation and causation relevant to Google?

answered Oct 12, 2014 at 23:56

1 vote

How to measure the distance between two Bayesian networks?

answered Nov 6, 2014 at 16:18

1 vote

What are the best empirical studies comparing causal inference with experimental, quasi-experimental, and non-experimental techniques?

answered Oct 20, 2015 at 19:24

1 vote

Accepted

Tossing 2 coins, distribution

answered Oct 13, 2014 at 6:10

1 vote

How to analyze relationship between data pairs

answered Oct 21, 2014 at 0:28

1 vote

What is the correct definition for completeness in d-separation in directed graphical models?

answered Oct 21, 2014 at 1:58

0 votes

Determine dependent and independent variables in the data without using a priori knowledge

answered Oct 12, 2014 at 23:25

0 votes

Accepted

Conflict between Conditional Independence and Conditional Dependence

answered Jul 26, 2018 at 3:15

0 votes

Does sampling from a large dataset lead to correct inferences?

answered Jan 23, 2019 at 14:50

Stack Exchange Network

27 Answers

Who conjectured that every correlation is caused by causal mechanisms?

Does causation imply correlation?

Causal Markov condition simple explanation

Parental Markov Condition

Using K-fold cross validation to select a model's parameters

Introduction to causal analysis

Infer causality with high collinearity

What is the difference between correlation, causation and prediction?

How to identify natural experiments?

Does a Bayesian network include the CPTs?

Including confounders in a model

How to draw a Markov network graph for two or pair of variables

Directed Graph to Regression Help

How to highlight a confounding variable?

In Probabilistic Graphical Models, what does it mean that r.v. X influences r.v Y?

Independence test

Deriving conditional independence statements for causal graphs with selection nodes

What if two players were playing the Monty Hall Game?

To what extent is the distinction between correlation and causation relevant to Google?

How to measure the distance between two Bayesian networks?

What are the best empirical studies comparing causal inference with experimental, quasi-experimental, and non-experimental techniques?

Tossing 2 coins, distribution

How to analyze relationship between data pairs

What is the correct definition for completeness in d-separation in directed graphical models?

Determine dependent and independent variables in the data without using a priori knowledge

Conflict between Conditional Independence and Conditional Dependence

Does sampling from a large dataset lead to correct inferences?