Hey everyone,
Quick question—what’s the meaning of proxied by in math? I keep seeing it in papers and lectures, but I’m not entirely sure how it’s being used.
Like, is it just a fancy way of saying "represented by" or "approximated by"? Or does it have a more specific meaning?
Would really appreciate if someone could break it down in simple terms. Maybe with an example?
Thanks in advance!
(Also, if I’m totally off base here, feel free to roast me lol)
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*PS: Sorry if this is a dumb question, but google wasn’t much help. Kept giving me proxy servers instead haha.*
Oh man, I had the same confusion about the meaning of proxied by in math! From what I’ve seen, it’s often used when one thing stands in for another in a calculation or model. Like, if you can’t measure X directly, you might use Y as a proxy.
Example: In stats, if you’re studying economic growth but don’t have GDP data, you might use nighttime light intensity as a proxy.
Not sure if this helps, but it’s how I’ve seen it used. Also, Wolfram Alpha sometimes has good examples if you dig around.
lol @ the proxy servers thing—google really loves its tech terms.
Anyway, the meaning of proxied by in math is kinda like "represented by," but with extra steps. It’s not just a synonym—it implies there’s some indirect relationship or substitution going on.
Like, in regression, a variable might be proxied by another if the original is noisy or hard to measure.
If you’re into examples, check out some intro econometrics papers—they love using proxy variables.
Short answer: It’s a stand-in.
Long answer: The meaning of proxied by in math is about using a substitute when the real thing is messy or unavailable. Think of it like using a placeholder that’s "close enough" for the analysis.
Example: Can’t measure education quality directly? Maybe use test scores as a proxy.
PS: Khan Academy has some decent vids on this if you’re visual.
Nah, not a dumb question at all! The meaning of proxied by in math trips up a lot of folks. It’s not just about approximation—it’s about functional substitution.
Like, in machine learning, you might proxy a complex feature with a simpler one to speed up calculations. It’s not perfect, but it gets the job done.
If you want a deep dive, JSTOR or arXiv papers often explain it well (but they can be dense).
Totally get the confusion! The meaning of proxied by in math is basically using one thing to estimate or represent another when the original is MIA or too complicated.
Real-world example: In bio stats, body mass index (BMI) is often used as a proxy for body fat percentage. It’s not perfect, but it’s practical.
For more, try StatQuest on YouTube—Josh breaks it down nicely.
Yo, the meaning of proxied by in math is all about indirect measurement. It’s like when you use a thermometer to proxy for "how hot it feels"—close, but not the same.
In algebra, you might proxy a nasty equation with a simpler one to solve it faster.
For tools, R or Python’s statsmodels lib can help you play with proxy variables.
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Wow, thanks everyone! This makes way more sense now. The examples really helped—especially the BMI and nighttime lights ones.
I’ll def check out StatQuest and Wolfram Alpha. Also, lol @ causal inference—didn’t realize it was such a big deal there.
Quick follow-up: Anyone know if there’s a rule of thumb for when a proxy is "good enough"? Like, how close does the proxy need to be to the real thing?
(Also, glad I’m not the only one who got bombarded with proxy server results haha.)
Kinda surprised no one’s mentioned causal inference yet! The meaning of proxied by in math is huge there.
It’s not just substitution—it’s about finding a variable that preserves the relationship you care about. Like, using years of schooling as a proxy for "education" in a study.
If you’re into this, check out "The Book of Why" by Pearl. Super readable.
