TETRAD

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TETRAD

Frank Wimberly-2
Joe Ramsey took over my work on the TETRAD project in the Philosophy Department at Carnegie Mellon when I left.  It's a major project to develop software for doing statistical causal reasoning.  Sometimes correlation is causation.

Joe just posted this in Facebook:

I didn't know if it was OK to say yet, but word is getting out, so I guess it's OK. A project I've been working on for the last 20 years in the Philosophy Department at Carnegie Mellon, TETRAD, was just selected as one of four winners of the prestigious SAIL award. It's a great honor. Ours was a "leading" award. There were 800 projects that applied for consideration.

EDIT: This has been a long-running project, started by Clark Glymour, Peter Spirtes and Richard Scheines some 10 years before I started on it. We've had considerable help along the way as well. So it's definitely been a group effort! 


---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

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Re: TETRAD

jon zingale
Frank,

Would you say more about the work? What sort of framework is used to speak
about the relation between correlation and causation?



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Re: TETRAD

thompnickson2
In reply to this post by Frank Wimberly-2

That’s impressive!

 

n

 

Nicholas Thompson

Emeritus Professor of Ethology and Psychology

Clark University

[hidden email]

https://wordpress.clarku.edu/nthompson/

 

 

From: Friam <[hidden email]> On Behalf Of Frank Wimberly
Sent: Thursday, July 9, 2020 11:19 AM
To: The Friday Morning Applied Complexity Coffee Group <[hidden email]>
Subject: [FRIAM] TETRAD

 

Joe Ramsey took over my work on the TETRAD project in the Philosophy Department at Carnegie Mellon when I left.  It's a major project to develop software for doing statistical causal reasoning.  Sometimes correlation is causation.

 

Joe just posted this in Facebook:

 

I didn't know if it was OK to say yet, but word is getting out, so I guess it's OK. A project I've been working on for the last 20 years in the Philosophy Department at Carnegie Mellon, TETRAD, was just selected as one of four winners of the prestigious SAIL award. It's a great honor. Ours was a "leading" award. There were 800 projects that applied for consideration.

 

EDIT: This has been a long-running project, started by Clark Glymour, Peter Spirtes and Richard Scheines some 10 years before I started on it. We've had considerable help along the way as well. So it's definitely been a group effort! 

 

 

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM


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Re: TETRAD

Frank Wimberly-2
In reply to this post by jon zingale
Thanks, Jon.  I gave a Friam Colloquium at SFI on the topic back in the day.  Unless you have background knowledge, which you usually do, you can't decide which of two correlated variables causes the other.  But if you have a set of variables as you usually do in social science and medicine you can use the Causal Markov Condition and the concept of Faithfulness to infer an equivalence class of causal digraphs which will frequently share a set of causal edges.

I will look for a good tutorial on the subject and mail a link to Friam.

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Jul 9, 2020, 11:34 AM Jon Zingale <[hidden email]> wrote:
Frank,

Would you say more about the work? What sort of framework is used to speak
about the relation between correlation and causation?



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Re: TETRAD

Frank Wimberly-2
Here is a TETRAD tutorial.  See the Calvin and Hobbes cartoon.


https://rawgit.com/cmu-phil/tetrad/development/tetrad-gui/src/main/resources/resources/javahelp/manual/tetrad_tutorial.html
---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Jul 9, 2020, 11:55 AM Frank Wimberly <[hidden email]> wrote:
Thanks, Jon.  I gave a Friam Colloquium at SFI on the topic back in the day.  Unless you have background knowledge, which you usually do, you can't decide which of two correlated variables causes the other.  But if you have a set of variables as you usually do in social science and medicine you can use the Causal Markov Condition and the concept of Faithfulness to infer an equivalence class of causal digraphs which will frequently share a set of causal edges.

I will look for a good tutorial on the subject and mail a link to Friam.

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Jul 9, 2020, 11:34 AM Jon Zingale <[hidden email]> wrote:
Frank,

Would you say more about the work? What sort of framework is used to speak
about the relation between correlation and causation?



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Re: TETRAD

Frank Wimberly-2
That tutorial is mostly a user's manual for the software.

A better explanation is on pp. 19 and following in 


Sorry, Glen, it's a book but you only need a few pages to see how correlation (in the form of conditional independence) is causation.

Frank


---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Jul 9, 2020, 11:59 AM Frank Wimberly <[hidden email]> wrote:
Here is a TETRAD tutorial.  See the Calvin and Hobbes cartoon.


https://rawgit.com/cmu-phil/tetrad/development/tetrad-gui/src/main/resources/resources/javahelp/manual/tetrad_tutorial.html
---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Jul 9, 2020, 11:55 AM Frank Wimberly <[hidden email]> wrote:
Thanks, Jon.  I gave a Friam Colloquium at SFI on the topic back in the day.  Unless you have background knowledge, which you usually do, you can't decide which of two correlated variables causes the other.  But if you have a set of variables as you usually do in social science and medicine you can use the Causal Markov Condition and the concept of Faithfulness to infer an equivalence class of causal digraphs which will frequently share a set of causal edges.

I will look for a good tutorial on the subject and mail a link to Friam.

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Jul 9, 2020, 11:34 AM Jon Zingale <[hidden email]> wrote:
Frank,

Would you say more about the work? What sort of framework is used to speak
about the relation between correlation and causation?



--
Sent from: http://friam.471366.n2.nabble.com/

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