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# High level description
Least squares batch filters and classical Kalman filters are both methods for estimating the state of a dynamic system from noisy measurements. They both use a mathematical…
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BibTex:
```
@article{Andrews1991,
ISSN = {00129682, 14680262},
author = {Donald W. K. Andrews},
journal = {Econometrica},
number = {3},
pages = {817--858},
publisher = {[Wiley, Eco…
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Needed for filtering from multiple observations
trac data:
- Owner: **mihelich**
- Reporter: **berger**
- Reported at: **Mon Feb 8 11:02:54 2010**
- URL: https://code.ros.org/trac/wg-ros-pkg/ticket/…
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### Feature Type
- [ ] Adding new functionality to pandas
- [X] Changing existing functionality in pandas
- [ ] Removing existing functionality in pandas
### Problem Description
When …
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#### Feature description
I'm looking to extract the exact probability for occupancy of cells within the generating occupancy grid. I see slam_toolbox works in 3 states of occupied, free, and unk…
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To help with parameter identification and estimation due to the high number of potential parameters, should we include estimated or fixed penalties on the covariance parameters?
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It might be nice to support a lower level `fit` and `transform` API on top of just `cov`. This would allow folks to pass in an existing covariance matrix that they'd like to apply an estimation method…
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#### Code Sample, a copy-pastable example if possible
```python
# =============================================================================
# NUMPY VS PANDAS: DIFFERENT ESTIMATION OF COVARIAN…
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A to-do list of things that still need to be done on the statespace models, to organize future PRs. Anyone is free to add to (or subtract from!) the list.
- [ ] **High priority**: Allow post-estima…
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Hello author!
I like your project. thank you so much to share your program.
I have a small question.
i found a covariance matrix in Claserodometry2D.cpp line 719
```
cov_odo = (1.f/float(…