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AI 時代における顧客に響くメッセージの見極め方ウェビナー開催 新たに開催されるウェビナーで、生成AIを活用したマーケティングの進化と顧客に刺さるメッセージの見極め方を学びます。

AI 時代における顧客に響くメッセージの見極め方ウェビナー開催 #東京都 #港区 #生成AI #マーケティング #CausalAnalysis

新たに開催されるウェビナーで、生成AIを活用したマーケティングの進化と顧客に刺さるメッセージの見極め方を学びます。

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Happy holidays from the #Venet in #Tirol, #Austria ❄️⛷️ - the perfect crowd-free ski retreat, recharging energy for fresh #CausalAnalysis and #ImpactEvaluation in the new year 😉 www.venet.at

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causalweight package - RDocumentation 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...

🚀 A new version of our causalweight package for the statistical software R is online, containing some of the latest causal machine learning methods for the estimation of treatment effects: www.rdocumentation.org/packages/cau...
#CausalInference #CausalAnalysis #MachineLearning

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Had the great pleasure of teaching a short course on #CausalAnalysis (based on my book of the same name) and methods in policy evaluation this week at the European Central Bank in Frankfurt. A big thank you to David Marques-Ibanez and all participants for hosting me and for the engaging discussions!

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Framework Decomposes Effects into Synergy, Redundancy, Uniqueness

Framework Decomposes Effects into Synergy, Redundancy, Uniqueness

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: getnews.me/framework-decomposes-eff... #causalanalysis #moebius

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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

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Your decision systems will face this test
The question isn't if, but when
Will yours pass?

#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity

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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

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Which causal inference book you should read

Which causal inference book you should read

🚨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

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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

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🌟 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...

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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!

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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!

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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...

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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...

😀 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

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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.

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Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg

😀🔥 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

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Causal Analysis A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...

🎂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

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Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg


😀 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...

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Causal Analysis A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...

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

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Causal Analysis A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and ...

😀 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...

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GESIS Training Courses

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

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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...

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

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🔥 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...

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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...

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Text book "Causal Analysis" | Chair of Applied Econometrics and Policy Evaluation | University of F...

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

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Further education | Chair of Applied Econometrics and Policy Evaluation | University of Fribourg

🔥 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

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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...

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#CausalAnalysis
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Check out chapter content: https://gabors-data-analysis.com/chapters/
Book covers variety of topics, like #Dataviz #exploration #regression #prediction #MachineLearning #CausalAnalysis

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