A new framework uses Möbius inversion to split interventional causal effects into synergy, redundancy and uniqueness, demonstrated on logic gates and transformer language models. Read more: https://getnews.me/framework-decomposes-effects-into-synergy-redundancy-uniqueness/ #causalanalysis #moebius
September 22, 2025 at 8:59 PM
A new framework uses Möbius inversion to split interventional causal effects into synergy, redundancy and uniqueness, demonstrated on logic gates and transformer language models. Read more: https://getnews.me/framework-decomposes-effects-into-synergy-redundancy-uniqueness/ #causalanalysis #moebius
Delighted to attend the second edition of the Causal Machine Learning Workshop in the UK, this time hosted at Queen Mary University of London. Many thanks to my co-author Michel Haddad and the co-organizers for putting together such a fantastic event! #DataScience #MachineLearning #CausalAnalysis
July 15, 2025 at 7:14 PM
Delighted to attend the second edition of the Causal Machine Learning Workshop in the UK, this time hosted at Queen Mary University of London. Many thanks to my co-author Michel Haddad and the co-organizers for putting together such a fantastic event! #DataScience #MachineLearning #CausalAnalysis
Your decision systems will face this test
The question isn't if, but when
Will yours pass?
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
The question isn't if, but when
Will yours pass?
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
May 26, 2025 at 12:48 PM
Your decision systems will face this test
The question isn't if, but when
Will yours pass?
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
The question isn't if, but when
Will yours pass?
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
Trust in data is collapsing, but it's not the data that's failing - it's our systems.
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
May 26, 2025 at 12:48 PM
Trust in data is collapsing, but it's not the data that's failing - it's our systems.
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
🚨Which causal inference book you should read?
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
May 14, 2025 at 10:38 AM
🚨Which causal inference book you should read?
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
A wonderful guideline/flowchart description by Brady Neal @causalbrady
#causalinference
#causalanalysis
#appliedecotrix
#econsky
#episky
#polsky
One missed masterpiece is @nickchk.com's #TheEffect
Last updated in 2020, would love to see more on it
Causal Analysis for Mobile Games | Survey
Game Elements: New features (26.6%) Promotions (20.4%) UI changes (15.8%) Rewards (14.2%) Design changes (12.6%)
Full results 👇
#GameAnalytics #Data #CausalAnalysis #MobileGaming #AI #PlayerBehavior
Game Elements: New features (26.6%) Promotions (20.4%) UI changes (15.8%) Rewards (14.2%) Design changes (12.6%)
Full results 👇
#GameAnalytics #Data #CausalAnalysis #MobileGaming #AI #PlayerBehavior
May 5, 2025 at 7:02 AM
Causal Analysis for Mobile Games | Survey
Game Elements: New features (26.6%) Promotions (20.4%) UI changes (15.8%) Rewards (14.2%) Design changes (12.6%)
Full results 👇
#GameAnalytics #Data #CausalAnalysis #MobileGaming #AI #PlayerBehavior
Game Elements: New features (26.6%) Promotions (20.4%) UI changes (15.8%) Rewards (14.2%) Design changes (12.6%)
Full results 👇
#GameAnalytics #Data #CausalAnalysis #MobileGaming #AI #PlayerBehavior
🌟 Thrilled to present our joint research on #CausalAnalysis with N. Apfel, J. Hatamyar, and J. Kueck at the Fondazione Bruno Kessler in the stunning city of Trento today! 🌄 Check out the event details here: irvapp.fbk.eu/events/detai...
March 3, 2025 at 10:22 AM
🌟 Thrilled to present our joint research on #CausalAnalysis with N. Apfel, J. Hatamyar, and J. Kueck at the Fondazione Bruno Kessler in the stunning city of Trento today! 🌄 Check out the event details here: irvapp.fbk.eu/events/detai...
Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by @mitpress.bsky.social this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents!
February 14, 2025 at 6:52 AM
Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by @mitpress.bsky.social this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents!
Yesterday, the Fribourg Winter School in #DataAnalytics and #MachineLearning wrapped up its block on the statistical software #R with an introduction to #MachineLearning for #CausalAnalysis. Many thanks to all participants for the great interactions—enjoy the remaining courses on #Julia and #Python!
February 7, 2025 at 9:32 AM
Yesterday, the Fribourg Winter School in #DataAnalytics and #MachineLearning wrapped up its block on the statistical software #R with an introduction to #MachineLearning for #CausalAnalysis. Many thanks to all participants for the great interactions—enjoy the remaining courses on #Julia and #Python!
Received the first proof of my new book, Impact Evaluation in Firms and Organizations, from @mitpress.bsky.social! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, & more focused on business examples. R & Python code already available: dataverse.harvard.edu/dataset.xhtm...
December 6, 2024 at 12:28 PM
Received the first proof of my new book, Impact Evaluation in Firms and Organizations, from @mitpress.bsky.social! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, & more focused on business examples. R & Python code already available: dataverse.harvard.edu/dataset.xhtm...
😀 New paper alert! Check out our #DifferenceInDifferences method for time-varying continuous treatments based on double #MachineLearning and kernel methods - joint work with Michel Haddad and Lucas Zhang: arxiv.org/abs/2410.21105 #CausalAnalysis
Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning
We propose a difference-in-differences (DiD) method for a time-varying continuous treatment and multiple time periods. Our framework assesses the average treatment effect on the treated (ATET) when co...
arxiv.org
October 31, 2024 at 3:39 PM
😀 New paper alert! Check out our #DifferenceInDifferences method for time-varying continuous treatments based on double #MachineLearning and kernel methods - joint work with Michel Haddad and Lucas Zhang: arxiv.org/abs/2410.21105 #CausalAnalysis
Had the pleasure of hosting Prof. Kosuke Imai (Harvard University), a world-leading expert in #CausalAnalysis, at our econ research seminar in Fribourg. He gave an insightful talk on evaluating AI-based recommendations in human decision-making, followed by engaging discussions at the seminar dinner.
October 9, 2024 at 6:39 AM
Had the pleasure of hosting Prof. Kosuke Imai (Harvard University), a world-leading expert in #CausalAnalysis, at our econ research seminar in Fribourg. He gave an insightful talk on evaluating AI-based recommendations in human decision-making, followed by engaging discussions at the seminar dinner.
😀🔥 Registration is open for our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning, Feb 3-14, 2025, in hybrid format at Fribourg University and online. Courses on machine/deep learning & #CausalAnalysis using #Python, #RStats, #Julia, #Knime: www.unifr.ch/appecon/en/w... #EconSky
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg
www.unifr.ch
September 24, 2024 at 10:23 AM
😀🔥 Registration is open for our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning, Feb 3-14, 2025, in hybrid format at Fribourg University and online. Courses on machine/deep learning & #CausalAnalysis using #Python, #RStats, #Julia, #Knime: www.unifr.ch/appecon/en/w... #EconSky
🎂Happy Birthday, #CausalAnalysis! 🎉 One year ago today, my book on impact/treatment evaluation and causal #MachineLearning in #RStats was released by @mitpress.bsky.social!😀 mitpress.mit.edu/978026254591... #EconSky
Causal Analysis
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...
mitpress.mit.edu
August 1, 2024 at 6:52 AM
🎂Happy Birthday, #CausalAnalysis! 🎉 One year ago today, my book on impact/treatment evaluation and causal #MachineLearning in #RStats was released by @mitpress.bsky.social!😀 mitpress.mit.edu/978026254591... #EconSky
😀 Our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is happening from Feb 3-14 2025 at Uni Fribourg! Registration is already open for our hybrid courses (in class or online) in machine/deep learning & #CausalAnalysis using Python, R, Julia, and Knime: unifr.ch/appecon/en/w...
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg
unifr.ch
July 4, 2024 at 12:55 PM
😀 Our 5th #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is happening from Feb 3-14 2025 at Uni Fribourg! Registration is already open for our hybrid courses (in class or online) in machine/deep learning & #CausalAnalysis using Python, R, Julia, and Knime: unifr.ch/appecon/en/w...
News concerning my book #CausalAnalysis (mitpress.mit.edu/978026254591...): The R and Python code along with the datasets in CSV format for the empirical examples featured in the book are now also available on the Harvard Dataverse repository: doi.org/10.7910/DVN/...
#EconSky
#EconSky
Causal Analysis
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...
mitpress.mit.edu
May 6, 2024 at 10:23 AM
News concerning my book #CausalAnalysis (mitpress.mit.edu/978026254591...): The R and Python code along with the datasets in CSV format for the empirical examples featured in the book are now also available on the Harvard Dataverse repository: doi.org/10.7910/DVN/...
#EconSky
#EconSky
😀 Just learned that my book #CausalAnalysis mitpress.mit.edu/978026254591... is a finalist for the "Association of American Publishers Awards for Professional and Scholarly Excellence" (PROSE Awards) in the category "Computing and Information Sciences": publishers.org/wp-content/u...
Causal Analysis
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...
mitpress.mit.edu
March 7, 2024 at 4:32 PM
😀 Just learned that my book #CausalAnalysis mitpress.mit.edu/978026254591... is a finalist for the "Association of American Publishers Awards for Professional and Scholarly Excellence" (PROSE Awards) in the category "Computing and Information Sciences": publishers.org/wp-content/u...
Excited to announce that I'll be teaching an online course on #CausalAnalysis using instrumental variables (with examples in R) at @fdzgml.bsky.social on Oct 29th & 30th 2024. For more details and to register online, visit: training.gesis.org?site=pDetail... #EconSky
GESIS Training Courses
training.gesis.org
March 5, 2024 at 11:22 AM
Excited to announce that I'll be teaching an online course on #CausalAnalysis using instrumental variables (with examples in R) at @fdzgml.bsky.social on Oct 29th & 30th 2024. For more details and to register online, visit: training.gesis.org?site=pDetail... #EconSky
A new version of the causalweight package for R is online: cran.r-project.org/web//package.... Now including example datasets for the regression kink design and the estimation of interference/spillover effects in treatment evaluation as considered in my book #CausalAnalysis! #EconSky
causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting
Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average tr...
cran.r-project.org
January 25, 2024 at 12:56 PM
A new version of the causalweight package for R is online: cran.r-project.org/web//package.... Now including example datasets for the regression kink design and the estimation of interference/spillover effects in treatment evaluation as considered in my book #CausalAnalysis! #EconSky
🔥 Exciting news about my book #CausalAnalysis! A free online version is now available, many thanks to MIT press for making this possible! Here's the link to the open access version: mitpress.ublish.com/ebook/causal...
eReader
eReader
mitpress.ublish.com
January 11, 2024 at 10:19 AM
🔥 Exciting news about my book #CausalAnalysis! A free online version is now available, many thanks to MIT press for making this possible! Here's the link to the open access version: mitpress.ublish.com/ebook/causal...
Join us for our Winter School in #DataAnalytics and #MachineLearning, Feb 5-16 2024 at Fribourg University in a hybrid format. Courses in machine/deep learning & #CausalAnalysis using Python, R, Julia, Knime, and stunning landscapes nearby! Register now: www.unifr.ch/appecon/en/w...
January 9, 2024 at 11:48 AM
Join us for our Winter School in #DataAnalytics and #MachineLearning, Feb 5-16 2024 at Fribourg University in a hybrid format. Courses in machine/deep learning & #CausalAnalysis using Python, R, Julia, Knime, and stunning landscapes nearby! Register now: www.unifr.ch/appecon/en/w...
Exciting update on my book #CausalAnalysis: Now, many empirical examples initially available for the software #R are also provided as #Python code! Download them for free from the following website: www.unifr.ch/appecon/en/r... #EconSky
Text book "Causal Analysis" | Chair of Applied Econometrics and Policy Evaluation | University of F...
www.unifr.ch
December 19, 2023 at 2:59 PM
Exciting update on my book #CausalAnalysis: Now, many empirical examples initially available for the software #R are also provided as #Python code! Download them for free from the following website: www.unifr.ch/appecon/en/r... #EconSky
🔥 Our 4th Winter School in #DataAnalytics & #MachineLearning is happening from Feb 5-16 2024 at the University of Fribourg! Register here for our hybrid courses (live/online) in machine/deep learning & #CausalAnalysis using #Python,#RStats,#Julia,#Knime: www.unifr.ch/appecon/en/w... #EconSky
Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg
www.unifr.ch
October 30, 2023 at 4:23 PM
🔥 Our 4th Winter School in #DataAnalytics & #MachineLearning is happening from Feb 5-16 2024 at the University of Fribourg! Register here for our hybrid courses (live/online) in machine/deep learning & #CausalAnalysis using #Python,#RStats,#Julia,#Knime: www.unifr.ch/appecon/en/w... #EconSky
One year old book on in the intersection of #MachineLearning #Econometrics #CausalAnalysis covers many great topics like data collection, regressions, random forest, classification, experiments, matching, diff-in-diffs, time-series, panel...
December 1, 2024 at 11:38 PM
One year old book on in the intersection of #MachineLearning #Econometrics #CausalAnalysis covers many great topics like data collection, regressions, random forest, classification, experiments, matching, diff-in-diffs, time-series, panel...