A SWIG as my first attempt in my life to use LaTeX. I'm so proud. :)

From the @DSLC ​chives:

Advanced R: Functions https://youtu.be/BPd6-G9e32I #RStats

The Effect: An Introduction to Research Design and Causality: Drawing Causal Diagrams https://youtu.be/J_M-bgBYJKA #RStats #causal #causality

FPP: Time series features https://youtu.be/oo2eX7MPJLo #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

The first workshop day at #ESWC2025 kicks-off with a spectacular program. Have a look
https://2025.eswc-conferences.org/program-overview/

#SeWeBMeDA2025 #SDS2025 #KGC2025 #SemTech4STLD #Causal NeSy #OPAL 2025 #KG4S2025 #Challenge (BiKE & Text2Sparql) #Tutorial

'Learning causal graphs via nonlinear sufficient dimension reduction', by Eftychia Solea, Bing Li, Kyongwon Kim.

http://jmlr.org/papers/v26/24-0048.html

#causal #nonparametric #observational

While the URI points to a Wired article entitled to be about the #Metaverse the article is actually about #industrial, #manufacturing and #robotics use of #DigitalTwins — that term is used frequently throughout the article. While LLM/GPT style #generative technology is mentioned, imagine, as you read the article, #causal methods for multi-modal, multiple model composable, causal digital twins

https://www.wired.com/story/the-metaverse-is-here-and-its-industrial/

'Recursive Causal Discovery', by Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash.

http://jmlr.org/papers/v26/24-0384.html

#causal #discovery #observational

'DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning', by Xiangdong Xie, Jiahua Guo, Yi Sun.

http://jmlr.org/papers/v26/23-0002.html

#inference #causal #bayesian

'Optimal Experiment Design for Causal Effect Identification', by Sina Akbari, Jalal Etesami, Negar Kiyavash.

http://jmlr.org/papers/v26/22-1516.html

#causal #algorithms #computational

'Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables', by Wei Jin, Yang Ni, Amanda B. Spence, Leah H. Rubin, Yanxun Xu.

http://jmlr.org/papers/v26/23-0272.html

#causal #causality

'Estimating Network-Mediated Causal Effects via Principal Components Network Regression', by Alex Hayes, Mark M. Fredrickson, Keith Levin.

http://jmlr.org/papers/v26/23-1317.html

#causal #social #network

Recent @DSLC club meetings:

The Effect: Regression Discontinuity https://youtu.be/1nCKCR_YIDA #RStats #causal #causality

Shiny Club https://youtu.be/O7hYqjLYwa8 #RStats #RShiny

Outstanding Shiny UI: Communicate between R and JS https://youtu.be/D0Zr_3isE8I #RStats #RShiny

From the @DSLC ​chives:

"Advanced R: Translating R Code" https://youtu.be/fixyitpXrwY #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

The Effect: Instrumental Variables https://youtu.be/YNR4hNTRSeE #RStats #causal #causality

From the @DSLC ​chives:

"R for Data Science: Communicate Part 2" https://youtu.be/qQrnNef9fkM #RStats

"Health Metrics and the Spread of Infectious Diseases: Intro to Health Metrics (health_metrics1 2)" https://youtu.be/25Npx53f7F4 #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

The Effect: Instrumental Variables https://youtu.be/kL3G_E0o0MA #RStats #causal #causality

Health Metrics and the Spread of Infectious Diseases: Introduction https://youtu.be/pjZingkFrVA #RStats

Outstanding Shiny UI: JavaScript for Shiny (Part 2) https://youtu.be/bLn3kT_bz9Q #RStats #RShiny

Visit https://dslc.video for hours of new #DataScience videos every week!

Snap resharing an applied #causal paper... with a #CUNY setting? By Athey? Just gonna shoehorn the time to read this in somewhere: https://doi.org/10.1016/j.jeconom.2024.105945

Recent @DSLC club meetings:

The Effect: Difference-in-Differences https://youtu.be/lvIeF3koPAU #RStats #causal #causality

Practical Deep Learning for Coders: Super-resolution https://youtu.be/pde30NExC4I #PyData #DeepLearning #AI

From the @DSLC ​chives:

"Web APIs with R: How can I get started with APIs? Part 2" https://youtu.be/WGxr4BTP75w #API #APIs #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

'Causal effects of intervening variables in settings with unmeasured confounding', by Lan Wen, Aaron Sarvet, Mats Stensrud.

http://jmlr.org/papers/v25/23-1077.html

#estimates #causal #estimators

#statstab #241 Mere Description

Thoughts: "causal arguments provide *explanation* while descriptive arguments provide *understanding*"

Sometimes description is good enough.

#description #causalinference #causal #evidence

https://www.cambridge.org/core/journals/british-journal-of-political-science/article/mere-description/833643C6242D3A45D48BAAC3EF0C33D0

#CausalML update - I am now fitting my first #CausalForest on real data!

Does anyone have advice on the most important #hyperparameters (After the # of trees & tree depth.)

I'm working on large imbalanced data sets and a large number of treatment variables, so it's not like anything you see in the economics literature. #ML #AI #causal