# Questions tagged [algebraic-statistics]

Use for questions relating to algebraic statistics, the branch of statistical theory concerned with methods from abstract algebra, especially algebraic geometry and commutative algebra. This tag is not for questions about the applications of linear algebra to statistics, nor for questions about grade school algebra in statistical problems.

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### About ideal data and its distribution

I was just thinking about what would be the properties of an ideal data set $X \in R^{n,d}$ where n is sample size, d represents features. I think (or at least I understood from reading text books) ...
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### Design of Experiments through Algebraic Statistics [closed]

I would like to ask you about how to compute a circuit basis of a design matrix in software R. Let me explain you. I have found a software, named Macaulay2, that calculates some algebraic tools, and ...
65 views

### Annualized Excess Return [closed]

I have been given the following formula to calculated Annualized excess return: Annualized excess return = (1+Monthly excess return)^12-1 The answer is provided ...
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1 vote
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### How To Find The Right Formula [duplicate]

First off, I'm kind of out of my element when it comes to formulas and figuring out how to come up with a formula for what I need. If you need any other information, let me know and I'll add it. ...
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### MLE Estimate - final step

The image below is the final steps taken from the MLE for the Pr. of success (parameter $\pi$) to a Negative Binomial. Source: SE thread. Here are the final steps from that: \$ \frac{d\ell(\pi;x_i)}{...
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369 views

### Calculating Formula with logs and Weighted Average

I am trying to figure out an equation from the following paper by Cadena and Kovak (2016): http://pubs.aeaweb.org/doi/pdfplus/10.1257/app.20140095 on pages 264 and 265. I don't think the context is ...
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317 views

### Cases where TDA outperforms public benchmarks?

Precise Question What are some specific examples where topological data analysis (TDA) outperforms other models on publicly available data? Context When new ML algorithms are developed, it seems ...
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