I wish you all a happy and productive 2023.
Judea Pearl
UCLA Computer Science Department
ju...@cs.ucla.edu, @yudapearl
HOME: http://bayes.cs.ucla.edu/jp_home.html
"Book of Why" http://bayes.cs.ucla.edu/WHY/
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Dear colleagues in causality research,
I am extremely proud and humble to have been selected a
recipient of the 2020 BBVA Frontier of Science Award.
https://www.frontiersofknowledgeawards-fbbva.es/noticias/the-frontiers-of-knowledge-award-goes-to-judea-pearl-for-laying-the-foundations-of
)
https://ucla.in/2LdEjZW
Wishing you all a triumphant exit to a COVID-free world
and a productive storm of new research.
Judea Pearl
UCLA Computer Science Department
ju...@cs.ucla.edu, @yudapearl
HOME: http://bayes.cs.ucla.edu/jp_home.html
"Book of Why" http://bayes.cs.ucla.edu/WHY/
---
Professor Judea Pearl
Director, Cognitive Systems Laboratory
Room 4514-4515 Boelter Hall
University of California Los Angeles,
405 Hilgard Avenue
Los Angeles, California 90095-1600
ju...@cs.ucla.edu
Tel. (310) 825-3243
mparison of Two Approaches to Empirical Economics
https://ucla.in/36EoNzO
===
Lively discussions of these topics are taking place
on Tweeter, where I go by the name @yudapearl
You are welcome to join,
Best wishes,
Judea
---
Dear friends in causality research
In the past 5 months, since the publication of The Book of
Why http://bayes.cs.ucla.edu/WHY/ I have been involved in
conversations with many inquisitive readers on twitter @yudapearl
and have not been able to update our blog as frequently as
I should. I am glad
Dear friends in causality research,
Three months ago, I sent you a special
greeting, announcing the forthcoming publication of
The Book of Why (Basic Books, co-authored with Dana MacKenzie).
Below please find an update.
The Book came out on May 15, 2018, and has since been
featured by the Wall
Dear friends in causality research,
This greeting is somewhat different from the those you have
been receiving in the past 18 years (Yes, it has been
that long, see http://causality.cs.ucla.edu/blog, January 1, 2000).
Instead of new results, passionate discussions,
breakthroughs, controversies, a
Dear friends in causality research.
Welcome to the 2018 Winter greeting from the UCLA Causality
Blog. causality.cs.ucla.edu/blog
This greeting discusses the following topics:
1. A report is posted, on the "What If" workshop
at the NIPS conference. (see December 19, 2017 post below)
It di
Prince Scientist.
May he rest in peace and may his memory continue
to inspire our paths,
Judea
Judea Pearl
Professor
UCLA Computer Science Department
4532 Boelter Hall
Los Angeles, CA 90095-1596
310.825.3243
ju...@cs.ucla.edu
- Original Message -
From: "Rubin, Stuart H CIV SPAWARS
on to the External Validity problem.
5. Adam Glynn, on Front-door approaches to causal inference
6. Karthika Mohan, on Missing Data from a causal modeling perspective
7. Judea Pearl, on "The Eight Pillars of Causal Wisdom"
8. Adnan Darwiche, on Model-based vs. Model-Blind Approaches
Dear friends in causality research,
In this brief greeting I would like to first
call attention to an approaching deadline and then
discuss a couple of recent articles.
1.
Causality in Education Award - March 1, 2017
We are informed that the deadline for submitting a
nomination for the ASA Caus
Dear friends in causality research,
This greeting from UCLA Causality Blog
(http://causality.cs.ucla.edu/blog/)
contains news and discussions on the following topics:
1. Reflections on 2016 JSM meeting.
2. The question of equivalent representations.
3. Simpson's Paradox (Comments on four recent
Dear friends in causality research,
This Spring Greeting from UCLA Causality blog contains:
A. News items concerning causality research,
B. New postings, new problems and some solutions.
A1.
The American Statistical Associat
Announcing a new book on Causal Inference
A new book "Causal Inference in Statistics - A Primer"
by J. Pearl, M. Glymour and N. Jewell
is now available on Kindle, and will be available
in print Feb. 26, 2016 .
http://www.amazon.com/Causality-A-Primer-Judea-Pearl/dp/1119186846
frills.
A.
Our publisher (Wiley) has informed us that the
book "Causal Inference in Statistics - A Primer"
by J. Pearl, M. Glymour and N. Jewell
is already available on Kindle, and will be available
in print Feb. 26, 2016.
http://www.amazon.com/Causality-A-Primer-Judea-Pearl
Kindle, and will be available
in print Feb. 26, 2016.
http://www.amazon.com/Causality-A-Primer-Judea-Pearl/dp/1119186846
http://www.amazon.com/Causal-Inference-Statistics-Judea-Pearl-ebook/dp/B01B3P6NJM/ref=mt_kindle?_encoding=UTF8&me=
This book introduces core elements of causal inference into
Dear Friends at UAI mailing center.
Would it be possible to post the greeting below for the UAI list?
Thanks in advance,
Judea Pearl
---
Dear Friends in causality research,
This mid-summer greeting of UCLA Causality blog contains:
A. News items
Dear Friends in causality research,
This mid-summer greeting of UCLA Causality blog contains:
A. News items concerning causality research
B. Interesting discussions and scientific results
http://www.mii.ucla.edu/causality/
1.
The next issue of the Journal of Causal Inference is
scheduled to appe
Friends in causality research,
-
This Spring greeting from UCLA Causality blog
contains:
A. News items concerning causality research,
B. New postings, new problems and new solutions.
A1.
Congratulations go to Tyler VanderWeele,
Dear friends in causality research,
-
This Winter greeting from UCLA Causality blog
contains:
A. News items concerning causality research,
B. New postings, new problems and some solutions.
http://www.mii.ucla.edu/causality/.
A
and observational findings.
It comes together with "A note on Causes of Effects"
http://ftp.cs.ucla.edu/pub/stat_ser/r439.pdf
a rebuttal to recent attempts at mystification.
end--
May all cretive thoughts attend to some good cause
Judea
s on this page,
http://www.mii.ucla.edu/causality/.
for example:
1. On Simpson's Paradox. Again?
2. Who Needs Causal Mediation?
3. On model-based vs. ad-hoc methods
Wishing you a productive summer,
Judea
---
Professor Judea Pea
s.ucla.edu/pub/stat_ser/r421.pdf
R-422 "Is Scientific Knowledge useful for Policy Analysis?
A Peculiar Theorem says: No"
We ask: Why is it that knowing the effect of smoking
on cancer does not help us assess the merits of
of banning cigarette advertisement.
We speculate on the ramification of
of the 2010 version of this paper.
http://ftp.cs.ucla.edu/pub/stat_ser/r343w.pdf
Wishing you a happy and productive new year,
Judea
---
Professor Judea Pearl
Director, Cognitive Systems Laboratory
Room 4514-4515 Boelter Hall
Dear friends in causality,
-
This greeting from the UCLA Causality blog
contains:
1. News items concerning causality research
2. postings and publications
1.1 Journal of Causal Inference - Vol. 1, Issue 1
-
The
-TOC-June2013.pdf
The second issue is planned for December 2013.
the JCI welcomes submissions on all aspects of causal
inference, preferably earth-shaking results.
Regards,
Judea
---
Professor Judea Pearl
Director, Cognitive Systems
hear your suggestions
on how to restore causal inference to econometrics education.
Cheers,
Judea Pearl, UCLA
ps. Check our latest results on
http://bayes.cs.ucla.edu/csl_papers.html
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ore causal inference to econometrics education.
Cheers,
Judea Pearl, UCLA
ps. Check our latest results on
http://bayes.cs.ucla.edu/csl_papers.html
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obabilitic graphical models
2. Markov compatibility
3. d-separation
4. Interventions
5. Causal effects identification
6. do-Calculus
7. C-components
8. Counterfactuals
9. Markov Equivalence
10. MAGs
11. Confounding Equivalence
12. Instrumental Variables
13. Verma constraints
Enjoy
Judea P
ick on
http://ftp.cs.ucla.edu/pub/stat_ser/r395.pdf
(And if you have ideas on reforming econometric
education, please share.)
Wishing you an insightful and productive summer
Best,
Judea Pearl
---
Professor Judea Pearl
Director, Cognitive Syst
y
bloggist-author Michael Nielsen, titled
"If correlation doesn't imply causation, then what does?"
It can be accessed here:
http://www.michaelnielsen.org/ddi/if-correlation-doesnt-imply-causation-then-what-does/
My response, together with thoughts on the psychology of
Simpson's
Hi Bruce,
I tried to post a mesg on the uai list,
but I must have used the wrong email.
I hope I got it right now.
Best
Judea
Date: Wed, 31 Aug 2011 01:33:41 -0700 (PDT)
From: Judea Pearl
To:
CC: ju...@cs.ucla.edu
Subject: new Journal of Causal Inference
X-Loop
http://www.bepress.com/jci
Papers can be submitted electronically at:
http://www.bepress.com/cgi/submit.cgi?context=jci
The first issue is planned for Fall 2011.
Have a productive Fall quarter,
See you on JCI
===Judea
---
Professor Judea
page.
http://bayes.cs.ucla.edu/jp_home.html
2nd line from the top.
You are welcome to use them in any way you choose.
But usage for a good cause is recommended.
Looking forward to postings from you,
and may clarity prevail.
-Judea Pearl
UCLA
http://www.mii.ucla.edu/causality/.
Rich,
Why would it be different from logistic regression, for which there is
a volume of statistical literature.?. (If I take logP(x=0|pa(x)), I get a linear
expression in the parameters, the rest should fall in place)
==Judea
- Original Message -
From: Rich Neapolitan
To: uai@e
http://ftp.cs.ucla.edu/pub/stat_ser/r363.pdf
and the insecure, dismissive attitude that this
deficiency engenders among its carriers
(e.g., http://ftp.cs.ucla.edu/pub/stat_ser/r348.pdf).
As always, your thoughts are welcome and
will surely be put into some good cause if
conveyed to other blog read
Y. Shoham and J. Pearl,
can be viewed here:
http://bayes.cs.ucla.edu/TRIBUTE/tribute-videos.htm
Videos of additional lectures will be posted in the near future.
3.
Recent entries on our Causality-Blog include:
3.1
An open letter from Judea Pearl to Nancy
Cartwright concerning "Causal Plur
will send another announcement
when the Wiki-Glossary site is up and running.
Wishing you a happy holiday season,
And may every bright thought be put to some good cause.
Judea Pearl
http://www.mii.ucla.edu/causality/.
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/r343-short.pdf
Confession: It is really a neat result.
Wishing you a fruitful new school year
and may clarity reign in causality land.
===Judea Pearl
http://www.mii.ucla.edu/causality
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