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- Matern covariance functions for GP effects / trends
- 2d FFT GPs (or even 1d) for complex but stationary GP effects (https://arxiv.org/pdf/2301.08836.pdf)
- Multivariate normal observation models
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## Is your feature request related to a problem? Please describe.
It would be nice to have more surrogate methods that operate on multidimensional input data. This becomes necessary in conditional …
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Hi, there, how should I resolve this issue below?
Traceback (most recent call last):
File "", line 1, in
File "/home/newdisk/ai/anaconda3/envs/tsdiff/lib/python3.8/site-packages/pykeops/nump…
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**Is your feature request related to a problem? Please describe.**
Multivariate independence testing is a desirable problem to solve in many fields such as connectomics. Looking through the `scipy.…
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It should look like this:
curl http://localhost:5000/participate?experiment=button&experiment.groups=true&group.button_color.alternatives=red&group.button_color.alternatives=blue&group.button_text.al…
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I think this will need multivariate polygamma
Task list:
- [x] Multivariate-polygamma
- [ ] Distribution
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related to
#2765 #4143 traditional/old statistics for covariance and correlation structures and tests
#3197 penalized and shrinkage estimator for covariances or inverse covariances
These are ju…
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Some planned additions. No specific time for completion.
- [x] Patton-Politis-White Bandwidth Selection for Time-Series Bootstraps
- [x] Engle-Granger Cointegration Testing
- [x] Phillips-Ouliar…
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Currently we have a lot of isolated profiling and example programs, but no automatic way to aggregate performance benchmarks. A unified benchmark suite would be useful to catch performance regressions…
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some references (for the robust RLM case)
http://scholar.google.com/scholar?cites=17895094206680664513&as_sdt=2005&sciodt=0,5&hl=en
Question: if we impose a constraint and want to test inequalitie…