adam kelleherIntroducing the do-sampler for causal inferenceAdam Kelleher and Amit SharmaJul 11, 20196Jul 11, 20196
adam kelleherHow do you correct selection bias?If you’ve been following this series, you know there are many ways an analysis you’re doing in data science can become biased. One way is…Aug 1, 20188Aug 1, 20188
adam kelleherCausal Inference With pandas.DataFrames(Note: all opinions are my own)Nov 8, 20179Nov 8, 20179
adam kelleherWhat do AB tests actually measure?If you’re like me, you’ve done a lot of AB tests before thinking too deeply about the experiment methodology. After all, they’re standard…Jul 5, 20173Jul 5, 20173
adam kelleherCausal Graph InferenceI’m back! I got a little busy, and ended up taking a short hiatus from blogging. I started teaching causal inference at Columbia during…Feb 9, 20178Feb 9, 20178
adam kelleherThe Data Processing InequalityIf you look at the wikipedia article for the data processing inequality, it’s really just a stub (as of the time this article was…Sep 26, 20162Sep 26, 20162
adam kelleherA Technical Primer On CausalityWhat does “causality” mean, and how can you represent it mathematically? How can you encode causal assumptions, and what bearing do they…Sep 7, 201617Sep 7, 201617
adam kelleherinCausal Data ScienceCausal Data ScienceI started a series of posts aimed at helping people learn about causality in data science (and science in general), and wanted to compile…Aug 12, 20162Aug 12, 20162
adam kelleherSpeed vs. Accuracy: When is Correlation Enough? When Do You Need Causation?Often, we need fast answers with limited resources. We have to make judgements in a world full of uncertainty. We can’t measure everything…Aug 9, 20163Aug 9, 20163
adam kelleherinCausal Data ScienceUnderstanding Bias: A Pre-requisite For Trustworthy ResultsIt turns out that it’s shockingly easy to do some very reasonable things with data (aggregate, slice, average, etc.), and come out with…Jul 18, 201612Jul 18, 201612