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https://arxiv.org/pdf/2108.00089.pdf
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**Submitting author:** @devarops (Evaristo Rojas Mayoral)
**Repository:** https://github.com/IslasGECI/nerd
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** @marcos…
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**Describe the solution you'd like**
Histogram estimation is not present in skpro. Implement them from scratch using the conditional density estimate finding the optimal binwidth(h) and find th…
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Hi, this is amazing work. Is that possible to get the log-likelihood of predicted samples using this framework?
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**Is your feature request related to a problem? Please describe.**
The current RND estimation approach does not incorporate external factors like market sentiment, which can significantly impact opti…
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Thanks for sharing the good work. Is there any implementation for [kernel density estimation](https://en.wikipedia.org/wiki/Multivariate_kernel_density_estimation) available ([univariate](https://book…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Data Collection:
Collecting historical financial news articles and their corresponding se…
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There are various ways this could be done:
* purely from samples. pros: model agnostic, cons: high variance, need to use a kernel method
* using mixture of gaussians: pros: lower variance, cons: ver…
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**ABUND's approach:**
In the event that a sighting occurs during systematic effort but no valid school size estimate is given for that sighting, the `ABUND` default is to assign a school size of 1. T…
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**Describe the feature you'd like to have**
As discussed in #277, we should have a long term goal of implementing a density estimation API, just as we have a probabilities API.
The reason is th…