The past decade has witnessed significant advances in causal inference and Bayesian network learning, two intertwined disciplines that allow researchers to discern underlying cause‐and‐effect ...
Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized? The following represents disclosure information provided by authors ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...
We review attempts to evaluate Pivotal Politics and related theories in light of the social sciences’ movement toward causal empiricism. To accommodate limitations of available data, most existing ...
The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect - and how they can be applied across a range of industry scenarios.
Joshua Angrist GS ’89 was awarded the 2021 Nobel Prize in Economics. He won half of the prize jointly with Guido Imbens “for their methodological contributions to the analysis of causal relationships.
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Citations: Waisman, Caio, Harikesh Nair, Carlos Carrion. 2025. Online Causal Inference for Advertising in Real-Time Bidding Auctions. Marketing Science. (1)176-195.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results