Record · danmackinlay.name

Causal graphical model reading group 2020 – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 15 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 12 October 2026).

A record is what was published and who pointed at it. The text of the post is not shown here: read it at the source, or at its Wayback capture.

Read at danmackinlay.name Wayback capture

0blogs citing

Citing blogs and links by period
Period	Blogs	Links
All time	0	0
Last 90 days	0	0
Last 30 days	0	0
Last 7 days	0	0

Figures for this page
Words blogs link it with	0
External links	53
Length	3,344

Cited by

No blog we hold has cited this post yet.

Links from this post

Link

Host

https://freerangestats.info/blog/2020/08/09/country-regression Read at freerangestats.info

freerangestats.info

http://www.bbc.com/news/magazine-20356613?ref=danmackinlay.name

bbc.com

https://arxiv.org/abs/1703.10651?ref=danmackinlay.name

arxiv.org

http://ftp.cs.ucla.edu/pub/stat_ser/uai12-mohan-pearl.pdf?ref=danmackinlay.name

ftp.cs.ucla.edu

http://www.ssc.wisc.edu/~felwert/causality/wp-content/uploads/2013/06/2-elwert_dags.pdf?ref=danmackinlay.name

ssc.wisc.edu

http://www.dagitty.net/learn/dsep/index.html?ref=danmackinlay.name

dagitty.net

http://bayes.cs.ucla.edu/BOOK-2K/d-sep.html Who cites this page

bayes.cs.ucla.edu

https://cran.r-project.org/web/packages/ggdag/vignettes/bias-structures.html?ref=danmackinlay.name

cran.r-project.org

https://cran.r-project.org/web/packages/ggdag/vignettes/intro-to-dags.html?ref=danmackinlay.name

cran.r-project.org

https://doi.org/10.1073/pnas.1510507113

doi.org

https://arxiv.org/abs/1209.2355 Who cites this page

arxiv.org

https://doi.org/10.1214/14-AOAS788

doi.org

https://doi.org/10.1007/s00186-012-0404-7

doi.org

https://doi.org/10.1146/annurev-statistics-022513-115545

doi.org

https://doi.org/10.1007/978-94-007-6094-3_13

doi.org

http://arxiv.org/abs/1405.1868

arxiv.org

https://doi.org/10.1086/662659

doi.org

http://www.cs.toronto.edu/~osindero/PUBLICATIONS/HintonOsinderoBao05_CLMRF.pdf

cs.toronto.edu

http://papers.nips.cc/paper/3548-nonlinear-causal-discovery-with-additive-noise-models.pdf

papers.nips.cc

https://doi.org/10.1016/j.artint.2012.01.002

doi.org

https://doi.org/10.1109/TIT.2010.2060095

doi.org

http://www.cs.iastate.edu/~honavar/jordan2.pdf

cs.iastate.edu

http://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-I.pdf

mlg.eng.cam.ac.uk

https://books.google.ch/books?hl=en&lr=&id=gCENL6qflA8C&oi=fnd&pg=PA63&ots=vgUI_QIs0y&sig=4WEKa7ToKKqHC1fsSt5prFZSL4Q

books.google.ch

http://intersci.ss.uci.edu/wiki/pdf/Lauritzen1988.pdf

intersci.ss.uci.edu

http://arxiv.org/abs/2007.00631

arxiv.org

http://arxiv.org/abs/1307.5636

arxiv.org

https://doi.org/10.1073/pnas.0913357107

doi.org

https://doi.org/10.1109/DSW.2018.8439889

doi.org

http://dl.acm.org/citation.cfm?id=1273575

dl.acm.org

http://arxiv.org/abs/1910.01751

arxiv.org

http://arxiv.org/abs/1811.04376

arxiv.org

https://doi.org/10.3390/make1010019

doi.org

http://arxiv.org/abs/1911.07420

arxiv.org

http://www.aaai.org/Papers/AAAI/1982/AAAI82-032.pdf

aaai.org

https://doi.org/10.1007/978-94-017-1735-9_12

doi.org

https://doi.org/10.1109/Allerton.2011.6120270

doi.org

https://doi.org/10.1214/aos/1031689015

doi.org

https://doi.org/10.1007/978-1-4612-1842-5_4

doi.org

http://arxiv.org/abs/1707.00819

arxiv.org

https://www.ncbi.nlm.nih.gov/books/NBK126189/

ncbi.nlm.nih.gov

http://papers.nips.cc/paper/6767-reliable-decision-support-using-counterfactual-models.pdf

papers.nips.cc

https://doi.org/10.1186/1471-2288-8-70

doi.org

http://dl.acm.org/citation.cfm?id=1613737

dl.acm.org

https://www.cs.cmu.edu/afs/cs.cmu.edu/project/learn-43/lib/photoz/.g/scottd/fullbook.pdf Who cites this page

cs.cmu.edu

http://proceedings.mlr.press/v89/subbaswamy19a.html

proceedings.mlr.press

http://arxiv.org/abs/1202.3764

arxiv.org

https://www.tcs.uni-luebeck.de/downloads/papers/2016/full-version.pdf

tcs.uni-luebeck.de

https://staff.fnwi.uva.nl/j.m.mooij/articles/uai2014ci_proceedings.pdf

staff.fnwi.uva.nl

https://www.ijcai.org/Proceedings/15/Papers/457.pdf

ijcai.org

https://doi.org/10.1177/0962280210387717

doi.org

https://doi.org/10.1214/aoms/1177732676

doi.org

http://www.merl.com/publications/TR2001-22

merl.com

Elsewhere on danmackinlay.name (4)

Causal inference on DAGs – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Gaussian process regression – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Non-uniform signal sampling – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Visualising probabilistic graphical models – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Causal graphical model reading group 2020 – The Dan MacKinlay stable of variably-well-consider’d enterprises

Cited by

Links from this post

Similar posts