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Questions tagged [references]

Questions seeking external references (books, papers, etc.) about a particular subject. Always use a more specific tag in addition.

0 votes
0 answers
32 views

I'm a graduate student who is trying to understand how conformal prediction compares with other strategies (Bayesian, frequentist) in terms of established and well-regarded capabilities of those ...
Chris's user avatar
  • 322
0 votes
0 answers
26 views

I'm a graduate student who is trying to understand how conformal prediction compares with other strategies (Bayesian, frequentist) in terms of established and well-regarded capabilities of those ...
Chris's user avatar
  • 322
0 votes
0 answers
31 views

I'm a graduate student who is trying to understand how conformal prediction compares with other strategies (Bayesian, frequentist) in terms of established and well-regarded capabilities of those ...
Chris's user avatar
  • 322
0 votes
1 answer
27 views

On the page https://www.ons.gov.uk/methodology/methodologytopicsandstatisticalconcepts/uncertaintyandhowwemeasureit, there's a section where the UK Office for National Statitics talks about non-...
Coris's user avatar
  • 3
2 votes
0 answers
105 views

For a background, I am a pure mathematician and am looking for a fully rigorous statement / proof for results in mathematical statistics :). It is probably better to post this in the math page but I ...
Liding Yao's user avatar
4 votes
1 answer
94 views

The Gauss-Markov theorem, strictly speaking, is only the case showing that the best linear unbiased estimator is the ordinary least squares estimator under constant variance. I have often heard the ...
Thomas Lumley's user avatar
1 vote
0 answers
12 views

Short Can I build a Graph-RAG pipeline that applies a reranker and top-K after vector search without re-running the full inference loop? I also need to continuously ingest VLM/CV monitoring logs and ...
Arkady Maximov's user avatar
4 votes
1 answer
154 views

I am taking a Time Series class at university and let's just say that our professor is far from effective nor efficient at teaching us anything :-X All he does is endlessly blabber and juggle from a ...
27 votes
1 answer
3k views

I’m a clinical/forensic psychologist with a PhD and some research experience, and often get asked to be an ad hoc reviewer for a journal. I recently recommended rejecting an article that had a lot of ...
Jerry L's user avatar
  • 353
3 votes
0 answers
74 views

I'm an economics PhD by training but work in industry. I have been trying to get more familiar with machine learning. A friend recommended "Elements of Statistical Learning". I'm really ...
Red's user avatar
  • 49
11 votes
4 answers
616 views

I am a PhD student in Phonetics and I have been doing statistical analyses of speech data for a long time now. I am quite familiar with the hands-on side of data analysis with R and Python, such as ...
2 votes
0 answers
64 views

In ordinary least squares regression with multiple predictors, statisticians sometimes choose a model using only some of the predictors, after concluding that the others are not significant. I have ...
Michael Hardy's user avatar
1 vote
0 answers
29 views

I am building a model to classify short videos of a person doing sign language (1-2 seconds, 30 fps, 512x512) into n labels I find that no matter which model I use (transformers, 3D CNN, ...) or ...
Jimmy's user avatar
  • 11
1 vote
0 answers
79 views

I'm struggling to understand, not the definition that is clear, but the practical implication of the a randomized statistic. In Sect. 7.3 of van der Vaart "Asymptotic Statistics", such ...
User1002546's user avatar
9 votes
3 answers
593 views

I'm looking for a good resource to learn different statistical tests, especially non-parametric ones. Can anyone recommend a good YouTube channel, book, or website?

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