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Causal Tree Learning For Heterogeneous Treatment Effect Estimation
Given high-dimensional data describing differences in characteristics between individuals, what state-of-the-art ML technique is best suited for…
Ken Acquah
Jul 30, 2020
3
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Causal Tree Learning For Heterogeneous Treatment Effect Estimation
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An UX Update To The Causal Flows Website
I've recently updated my site to to allow readers to more easily access to my blog posts on introductory causal inference.
Ken Acquah
Jul 6, 2020
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An UX Update To The Causal Flows Website
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Estimating Heterogeneous Treatment Effects
Oftentimes, analysts are interested how a particular intervention differentially affects an observed population. How can we estimate the extent of…
Ken Acquah
Jul 5, 2020
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Estimating Heterogeneous Treatment Effects
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June 2020
Propensity Score Matching: What Can Go Wrong?
What are some of the challenges an analyst must be wary of when using propensity score matching for causal inference tasks?
Ken Acquah
Jun 29, 2020
1
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Propensity Score Matching: What Can Go Wrong?
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Propensity Score Matching
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
Jun 21, 2020
4
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Propensity Score Matching
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Confounding Bias
Why is causal inference so hard? What "adjustments" can we make to observational data in order to make it easier?
Ken Acquah
Jun 14, 2020
2
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Confounding Bias
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Estimating Average Treatment Effects
How can we estimate average treatment effects and what biases must we be wary of when evaluating our estimation?
Ken Acquah
Jun 10, 2020
4
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Estimating Average Treatment Effects
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Potential Outcomes Model
Is there a way we describe the extent of causal relationships, in order to more wholly characterize quantifiable effects?
Ken Acquah
Jun 5, 2020
2
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Potential Outcomes Model
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May 2020
Structural Causal Models
How do we represent causal relationships between the many interconnected processes which comprise our universe?
Ken Acquah
May 27, 2020
1
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Structural Causal Models
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Getting In To A Causal Flow
What is causal inference? Why is it useful? How can you use to amplify your decision-making capabilities?
Ken Acquah
May 22, 2020
6
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Getting In To A Causal Flow
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