What is the difference between PCA and PAF method in factor …
$\begingroup$ +1. A very neat and simple answer. Just I want to scratch off a tiny nuance about that a little bit dogmatic/narrow use a PCA when the theory behind the index variable is that …
「film」「movie」「cinema」等词之间的区别是什么？ - 知乎
Film是个正儿八经的日耳曼词，法语的film是从英语借的。 Film的源头是原始印欧语的*pel-“皮毛、兽皮”。 古英语也有这个词，不过那个时候写作filmen，意思是“膜、薄皮、包皮”，源自原始日 …
Why are the HAC (Newey-West) standard errors smaller than the …
Nov 25, 2024 · $\begingroup$ As a pragmatic device, using the larger probably is not too bad, although it must inevitably imply some conservativeness - i.e., when you aim to test at 5%, you …
请问网站可以下载高清电影海报和剧照？ - 知乎
可以下载电影海报和剧照的网站有五个，分别是豆瓣电影、 IMP Awards、TMDb、FilmGrab。
What is the best way of combining multiple rankings into one?
Mar 3, 2024 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for …
r - Understanding the Tweedie Distribution - Cross Validated
Nov 17, 2021 · I am trying to better understand the basic details and properties about the Tweedie Probability Distribution. The Tweedie Probability Distribution is a bimodal probability …
Difference between GBTree and GBDart - Cross Validated
Apr 28, 2020 · From my understanding, GBDart drops trees in order to solve over-fitting. However, when tuning, using xgboost package, rate_drop, by default is 0. I understand this is …
r - How to store (and analyse) multi-answer multi-choice …
Film about a woman who is murdered and rebuilt as a cyborg Animation/cartoon about a boy who has a small flying robot (alien, I think), looking like a seagull, which can transform into armor
Logistic Regression with Lags - Cross Validated
Aug 29, 2017 · I am interested in fitting a dynamic panel model in the form of a random effects logistic regression logit P(s(t,i) = 1) for time t and subject i. The regression equation for this …
Making a single decision tree from a random forest
Sep 12, 2015 · $\begingroup$ My opinion: A random forest fit, can be seen as a large set of rules which can be reduced to a smaller set of simpler rules accepting a given increase in bias as in …