2 ms·
Surprised that nobody mentioned the first one in the list: Counterfactual Causal Inference The formalisation of casual inference by Pearl is in my opinion a d
by abiro 5y ago
Surprised that nobody mentioned the first one in the list:
Counterfactual Causal Inference
The formalisation of casual inference by Pearl is in my opinion a development comparable to the invention of calculus in mathematics: Suddenly the problem space solvable with statistics became at least an order of magnitude larger and we're only starting to see the benefits in other sciences.
- disgruntledphd2 5y agoI would love to believe this is true, and I think that theoretically it's super important, but I've never had success with this in practical applications. Hopefully one day I'll be able to make use of it.
- morelandjs 5y agoIt’s a tough field to become proficient in because you rarely get to validate your process. But I’m starting to get a better understanding of double ML, and it really does work in a provable way.