Causal Flows

Home
Archive
About
NewTopDiscussion
Given high-dimensional data describing differences in characteristics between individuals, what state-of-the-art ML technique is best suited for…
Ken Acquah
What is causal inference? Why is it useful? How can you use to amplify your decision-making capabilities?
Ken Acquah
How do we "control" for a large number of confounding variables when analyzing causal effects in an observational setting, and have very little control…
Ken Acquah
I've recently updated my site to to allow readers to more easily access to my blog posts on introductory causal inference.
Ken Acquah
Oftentimes, analysts are interested how a particular intervention differentially affects an observed population. How can we estimate the extent of…
Ken Acquah
Is there a way we describe the extent of causal relationships, in order to more wholly characterize quantifiable effects?
Ken Acquah
3
Why is causal inference so hard? What "adjustments" can we make to observational data in order to make it easier?
Ken Acquah
How do we represent causal relationships between the many interconnected processes which comprise our universe?
Ken Acquah
1
What are some of the challenges an analyst must be wary of when using propensity score matching for causal inference tasks?
Ken Acquah
1
How can we estimate average treatment effects and what biases must we be wary of when evaluating our estimation?
Ken Acquah
4
© 2023 Ken Acquah
Privacy ∙ Terms ∙ Collection notice
Start WritingGet the app
Substack is the home for great writing