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Supported Data Types pgmpy is a Python package for causal inference and probabilistic inference using Directed Acyclic Graphs (DAGs) and Bayesian Networks with a focus on modularity and extensibility. Implementations o...

https://pgmpy.org is a Python package for causal inference and probabilistic inference using Directed Acyclic Graphs (#DAGs) and Bayesian Networks with a focus on modularity and extensibility.
Written and maintained by Ankur Ankan and Johannes Textor.

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A Zillion times....
#Dags

Name a film you've seen 8 times

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Introducing Causion: A web app for playing with DAGs | Peder M. Isager Personal website of Dr. Peder M. Isager

#statstab #482 Introducing Causion: A web app for playing with DAGs

Thoughts: A very cool app. Let's you see exactly what your assumptions and DGP mean for your causal model.

#causal #causalinference #DAG #DAGs #dgp #tutorial #guide #education #pedagogy

pedermisager.org/blog/causion...

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16  Observational : causal – Research Design in the Social Sciences

#statstab #474 {DeclareDesign} Observational : causal

Thoughts: If you want to do causal research with OS there is a lot more to consider than in #473

#design #research #rstats #education #tutorial #pedagogy #DiD #DAGs #causalinference

book.declaredesign.org/library/obse...

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#CausalInference using #DAGs in #mixedmethodsresearch

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#CausalInference using #DAGs in #mixedmethodsresearch @gesistraining.bsky.social 👇

#sociology #polsci #causality

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JAMA Network Open "Research Letter" titled: "Construction and Application of Directed Acyclic Graphs in Leading Medical Journals" by Guanghui Deng, BA@1,2; Jian Du, PhD@2. Published Online: January 14, 2026.

JAMA Network Open "Research Letter" titled: "Construction and Application of Directed Acyclic Graphs in Leading Medical Journals" by Guanghui Deng, BA@1,2; Jian Du, PhD@2. Published Online: January 14, 2026.

Most published #DAGs in leading journals lack transparent justification and show inconsistencies between depicted and actual covariate adjustment, limiting their impact in observational health research. ja.ma/49lVx4G

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#contextgraphs are booming. #Causal #DAGs can be used exactly the same way as #decisiontraces. We also have a lot of work in the space of #dicisiontrees.

One big missed part of the puzzle is #datatraces and #epistemiological components - what kind of data was used to make a decision?

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A photograph of a tan dog with a black face who is biting a red silicon frisbee in half in such a manner that it looks like he has big red lips. Scooby doo with wax lips essentially

A photograph of a tan dog with a black face who is biting a red silicon frisbee in half in such a manner that it looks like he has big red lips. Scooby doo with wax lips essentially

I mean, c'mon. Right?

#dog #dogs #dags #dag

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Making DAGs even more useful: using augmented causal diagrams to depict counterfactual, study design, measurement, analytical, and interventional features Since their mainstream introduction in the 1990s, causal diagrams, including directed acyclic graphs (DAGs), have been increasingly used to depict our caus

New paper for #causalinference folks in all fields

#DAGs

#CausalDiagrams

#CausalSky #StatsSky #EpiSky

academic.oup.com/ije/article/...

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I’m uploading my #DAGs on #alcohol and #cancer to this nice platform for sharing and discussion.

This DAG is also available on DAGitty for easy reuse: dagitty.net/dags.html?id...

A detailed explanation of the assumptions behind the DAGs is here: www.dovepress.com/article/supp...

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When to use directed acyclic graphs (DAGs)? They may help map causal relationships and guide variable selection in observational research. #DAGs #causality www.bjanaesthesia.org/article/S0007-0912(25)00...

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Bayes-by Shower

#statstab #441 Bayes-by Shower

Thoughts: Comprehensive (read: long) tutorial on bayesian analysis and how to think about research.

#bayes #rstats #bayesian #tutorial #DAGs #estimand #observational #design

betanalpha.github.io/assets/chapt...

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GESIS Workshop
Introduction to Methods of Causal Inference
04 to 05 and 11 to 12 December 2025
Michael Gebel (University of Bamberg)

GESIS Workshop Introduction to Methods of Causal Inference 04 to 05 and 11 to 12 December 2025 Michael Gebel (University of Bamberg)

Ice cream sales predict shark attacks? 🦈🍦
More master’s degrees, more movie tickets sold? Causal inference helps separate causality from misleading correlations! Join @michaelgebel.bsky.social for a gentle intro to counterfactuals, #DAGs, methods & apps in #Stata.

➡️ t1p.de/meth-caus-in...

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🎓Had a great week at the Joint Vienna Institute teaching #DAGs and #CausalAI to colleagues from the Austrian National Bank. Excellent discussions, lots of curiosity, and great engagement throughout.

Many thanks to Michael Sigmund for the invitation! 🙏

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GESIS Workshop
Introduction to Methods of Causal Inference
04 to 05 and 11 to 12 December 2025
Michael Gebel (University of Bamberg)

GESIS Workshop Introduction to Methods of Causal Inference 04 to 05 and 11 to 12 December 2025 Michael Gebel (University of Bamberg)

Ice cream sales predict shark attacks? 🦈🍦 More master’s degrees, more movie tickets sold? Causal inference helps separate causality from misleading correlations! Join @michaelgebel.bsky.social for a gentle intro to counterfactuals, #DAGs, methods & apps in #Stata.

➡️ t1p.de/meth-caus-in...

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#CPlusPlus #FirstPrinciples #FirstPrinciplesThinking #FirstPrinciplesEngineering #ComputationalEpistemology #CausalInference #BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#CausalInference #BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#FirstPrinciplesThinking #FirstPrinciplesEngineering #ComputationalEpistemology #CausalInference #BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#CausalInference #BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#MessagePersistence #DAG #DAGs #FPGA #RISCV

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#EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#DAGs #FPGA #RISCV

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#BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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#ComputationalEpistemology #CausalInference #BareMetalProgramming #T2SDE #Forth #Oberon #ZeroInheritance #CleanDecision #Scheme #Coq #NixOS #ZEB #EventBus #EventTransport #MessagePersistence #DAG #DAGs #FPGA #RISCV

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