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Hi,
referring to the list in issue #8 ,
i implemented the classical Tyler's M-estimator (1987) and the shrinked version proposed by Zhang and Wiesel (2016), with both the Ledoit & Wolf-type of sh…
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Tracing the code of estimator_node.cpp you will see that:
1. The `predict` function changes global variables. Consider the snippet bellow
```
double latest_time;
Eigen::Vector3d tmp_P;
Eigen::Q…
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**Describe the feature you'd like to have**
At some point, I had implemented the Good-Turing probabilities estimator. I'm not sure if it disappeared from the list of estimators, or if I forgot to p…
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Hi,
Thanks for sharing this great work.
I am trying to apply different loss functions. However, I have not found anything related to M-estimator? Can you help providing some information about M…
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(This is just an idea, I have not seen it in the literature, but I did not look at the high-dimension robust cov literature)
Problem
As k_vars increase, efficiency of CovS increases but also the b…
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# Description
This happened when I published /robot_1/clicked_point in order to publish the goal. The global planner had successful planned with no errors, the local planner process had died (maybe b…
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based on the first few pages of
http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2012.01044.x/abstract
Zhou, Zhou, and Xiaofeng Shao. 2013. “Inference for Linear Models with Dependent Errors.” J…
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## Description
Using AprtilTags, we can use vision to help orient us on the field and help correct odmetry over time (see #69) as error builds up. Configure the limelight to be able to provide pose e…
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Hi again! I have yet another question, this time to do with sharding.
Essentially, I'm trying to shard to improve performance, but I would like the output to be the same as that of `vmap`.
**Ba…
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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…