Interestingly, according to the NYT Cruz campaign staffers did not think it worked:
"But Cambridge’s psychographic models proved unreliable in the Cruz presidential campaign, according to Rick Tyler, a former Cruz aide, and another consultant involved in the campaign. In one early test, more than half the Oklahoma voters whom Cambridge had identified as Cruz supporters actually favored other candidates. The campaign stopped using Cambridge’s data entirely after the South Carolina primary.
“When they were hired, from the outset it didn’t strike me that they had a wide breadth of experience in the American political landscape,” Mr. Tyler said."
They actually do adress this, in what i thought was the weakest part of the paper, the "non-key factors" section.
Fourth, vaccines are only active while pathogens are inside hosts, but drugs can remain active in environmental reservoirs [89], suggesting that the strength of selection for resistance may differ for drug and vaccine resistance. However, drug resistance readily evolves even in pathogens that lack environmental life stages such as HIV [8].
Our field has some very arbitrary threshold for noise on single features, sounds like there is some slightly more principled strategy in single cell genomics?
I happen to have some super high-dimensional data (~100k-1m dimensions), which takes a huge amount of time to work with because i have to custom write everything, and i notice they claim all their underlying functions use sparse matrix representations. Have you tried it in a very high dimensional context?
This sounds interesting. I am in a field where a lot more focus is on visualizing samples using different metrics with PcOA instead of using regular PCA.
If i just scroll through the Zheng et al arxiv paper it all seems a little arbitrary to me. Selecting a 1000 features, then 50 components. They argue that it is for computation time reasons, but is there any kind of benchmark suggesting this is a better strategy than just plotting the two first components or using MDS which also has the advantage in this scenario of being convex?