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For implementation it looks like we could reuse sandwich covariance.
For RLM: H1 is the analog of OLS "nonrobust" covariance
I haven't figured out if H3 is HC, it has a summation term that looks simi…
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python -m gluefactory.eval.hpatches --conf gluefactory/configs/superpoint+lsd+gluestick.yaml --overwrite
报下面的错误
[09/13/2024 11:16:10 gluefactory.datasets.base_dataset INFO] Creating dataset HPatches…
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This has come up a few times before, most recently in a personal e-mail to me. Worth thinking about.
http://thread.gmane.org/gmane.comp.lang.r.lme4.devel/4672/focus=4675
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This requires to develop the fast-and-robust bootstrap methodology for robust estimators of multilevel models. Such robust estimators are implemented in package [`robustlmm`](https://cran.r-project.or…
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getting started with a wishlist for outlier robust multivariate location and scatter estimators
#3220 size (overall scaling)
- MCD in scikit-learn, not good with high contamination and large k_vars
-…
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See `tmle` function in https://www.notion.so/basisresearch/Design-document-robust-statistics-with-influence-functions-0a3ecaab5b944e2fade867a6958039b7
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Currently the error bars are calculated as +-SEMs from the mean, and so do not line up with median and trimmed mean group-level classification accuracy estimators when plotting group results.
Will…
Feugs updated
7 years ago
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When calculating cluster-robust standard errors for large samples, clubSandwich produces memory allocation errors but sandwich does not in my experience. Since cluster-robust estimators have recently …
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# Cleaned up list
## Shrinkage estimators
**Linear Shrinkage**
- [x] [Ledoit Wolf, 2004](http://www.ledoit.net/honey.pdf), generic LW estimators
- [x] [Schafer and Strimmer, 2005](http://strim…
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Using this issue to keep track of estimators we may want to implement.
- [ ] Confidence intervals and standard errors for RQMC sequences
- [ ] [Median-of-means estimators](https://arxiv.org/pdf/2111…