# Tag Info

### Statistical intepretation of ratio of spectral norm of covariance matrix to its Frobenius norm

Frobenius norm tells you how correlated the variates are. Normalizing by trace instead of spectral norm comes up in estimation bounds, target is hard to estimate when your measurement vectors are ...
• 5,413
1 vote

### Textbook on high-dimensional statistics

You mention interest in genomic problems, with 1000s of genes but 100s of samples. Brad Efron's "Large Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction" might ...
Accepted

### Textbook on high-dimensional statistics

The book "Fundamentals of High-Dimensional Statistics" by Lederer should be what you want: it is very well written, explains all details, and contains R labs. The first chapters explain the ...

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### Is there a name for a logical fallacy that uses irrelevant or unfamiliar statistics to make a point?

I think you could reasonably call this an instance of context-dropping --- in the present case the conclusion is a fallacious inference from the evidence, since the inference relies on a lack of ...
• 100k
1 vote

### What is industrial statistics?

I agree with Nick Cox, but if you'd like a definition this seems like a useful one: Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a ...
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### Term for the error in machine learning as a direct result of incorrectly labelled data?

Answered in comments by Sycorax: This is sometimes called "label noise," the acknowledgement that the labels themselves may be incorrect (for any reason, including human error).

### Reference for Logistic and Sigmoid Kernels

Kernel is basically a PDF of a respective distribution without parameters. Logistic distribution uses logistic function as CDF, and its PDF would be exactly as you stated in your question (you can ...
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