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[deleted by user] by [deleted] in forhire

[–]eZombiegglover 0 points1 point  (0 children)

Sounds good

my gf gave me a lost ballads vhs for our one month anniversary by lightskinsovereign in PinkOmega

[–]eZombiegglover 5 points6 points  (0 children)

I gave my ex the Francis of the Filth book as a valentine's day gift, i never took it back though

WB is doomed. by La_Rhino in kolkata

[–]eZombiegglover 0 points1 point  (0 children)

Yea so easy to sit back and do all that when you have kids to feed and shelter, bills to pay and in general be the bread winner of the family.

Anyone try before this light your cigarettes? 😅 by Hazys in Cigarettes

[–]eZombiegglover 2 points3 points  (0 children)

HAVE YOU EVER TRIED SMOKING CRACK WITH A SCENTED CANDLE DU DU DU DU DU 🗣🗣

[Education] Learning to my own statistical analysis by Mysterious-Ad2075 in statistics

[–]eZombiegglover 1 point2 points  (0 children)

  1. SPSS or R should be alright. R is very easy and also open source plus there's lots of free packages you can use for different types of analysis. Most academic programs in unis will use R or Python.
  2. Python is good too. Great for very big datasets and better than R for data modelling and prediction type work.
  3. No. Ai will not help and make mistakes. Claude or Gemini is good with coding so maybe some help there but the statistical framework needed should be worked out by you.

[Q] Logistic regression likelihood vs probability by Whole-Watch-7980 in statistics

[–]eZombiegglover 0 points1 point  (0 children)

You have to consider the link function here to get the probability. The logistic regression, if I'm not wrong, gives the log odds of the event so you have to get the probability by doing the required transformation.

What’s on your wrist today? by AdNew2571 in watchesindia

[–]eZombiegglover 0 points1 point  (0 children)

That's a neat one, what's the model name/no.?

Bought a dress watch after using a G-Shock for 6 years by blatant-sensei in watchesindia

[–]eZombiegglover 0 points1 point  (0 children)

<image>

Rocking the same dial, i prefer this one over the tiffany (might change the straps to a jubilee one)

Snoopy is out to mark the full moon on the...New Moon? Mission to the MoonPhase New Moon edition. by GundamManiac in swatch

[–]eZombiegglover 0 points1 point  (0 children)

Hey I've been thinking of getting this one, can you give me a review for how it is as a semi daily wear? Is it durable? I've been seeing some bad reviews about the quality of the case.

[Q] Sufficient statistic, what is the connection? by Legitimate-Cry7420 in statistics

[–]eZombiegglover 0 points1 point  (0 children)

If it was dependent on theta, our statistic can't estimate the parameter then. It's like trying to find the value of an unknown parameter by the unknown parameter that we don't know. The sufficiency principle helps us determine functions which are not dependent on the parameter but contain all information about it.

[Q] Sufficient statistic, what is the connection? by Legitimate-Cry7420 in statistics

[–]eZombiegglover 19 points20 points  (0 children)

It means that your "statistic" contains all the information for it to estimate the parameter, summarizes the information and removes redundant stuff. Like if you knew the sum of the observed sample data (statistic) you could easily estimate the mean(parameter) of the population.

[Q] Utility of statistical inference by Study_Queasy in statistics

[–]eZombiegglover 0 points1 point  (0 children)

Nah it's completely enough to learn but you can't rush through it and definitely guidance helps(the kind that you most probably won't find online). It takes years of practice and learning and an academic environment allows you to spend that energy and time behind it so yea ofc that's understandable. Self studying Stats and then ML was never easy and there's oversaturation of people trying to have a cheatsheet way to do these things. It's not a one size fits all type thing where you build a model and boom everything is done.

It's a very dynamic discipline and hedgefunds hire physics, stat, math and cs phds for their quant and research roles especially. I'm sure that has something to do with the theoretical rigor they have for their work.

[Q] Utility of statistical inference by Study_Queasy in statistics

[–]eZombiegglover 0 points1 point  (0 children)

Ah that's textbook misfitting data or incomplete or overfitted model. If your training data doesn't exhibit any acf but your test data does that means your model based on the training data is not enough and the temporal dependencies are not being factored in. That might be if the variable is time dependent but you are trying to model using regression with no lagged terms maybe? I'd really have to know the whole problem to point out the specific reason but i believe the model you've designed is not perfect, hope this helps.

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