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- [ ] Logistic regression
- [ ] Generalized Linear Model
- [ ] Generalized Estimating Equations
- [ ] Partial Least Squares discriminate analysis
Note that this will extend the [Model superclass…
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**Is your feature request related to a problem? Please describe.**
M-estimation has issues when the estimating functions are not smooth. The most obvious example is the percentiles. This issue come…
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When we start with estimating or moment equations, then the derivative is not necessarily symmetric, in contrast to when we start from a likelihood maximization problem.
This case is implemented, b…
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Start from the bottom of the page I receive 403 error
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just parking references to read more carefully for implementation
I don't find an issue specifically for S-estimator.
related #8997 MM-estimator
Do we base the estimation on an objective functi…
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We are adding an underlying time trend in risk factors from consuming UPF (ultra-processed food).
The plan is to add time (or year) as an additional variable into risk factor equations.
- [ ] The …
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Estimating (using estimation to check if solutions are in the expected range)
Unit Analysis (tracking units to check work, build new equations, see connections)
Graphing Trends (using graphs to answ…
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Reading Li and Valliant
https://github.com/statsmodels/statsmodels/issues/9067#issuecomment-1823299955
They have a case where the model implied cov_params for WLS params is
cov(beta) = sigma^2 …
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(unsolved mysteries - vague thoughts on general classes of models)
**background**
What's the most general statistical model?
I thought it's M-Estimators, but I recently read about the distinction b…
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Dear Natsuhiko,
thanks again for the great tool!
I was wondering if it is possible to obtain z-scores or effect size AND standard errors from rasqual outputs.
I would like to perform downstream an…