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Because we only cache the probability distribution, TAQ, and TPQ on cal records for c14 calibrations. I don't want to add HDI to that, because it belongs to specifically to (posterior) radiocarbon dis…
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We would like to represent the bounded measure (but not necessarily probability measure) with density
(so `H` (`=Λ` in MT parlance), and `F = Λμ` could be called potential parameter)
For so…
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A Kernel density estimation , is a non-parametric method for estimating the **probability density function - PDF** of a Random Variable. Also as a generic EDA approach - the , kernel density plots ar…
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from Tao:
I think it would be very interesting to quantify the inter-annual climate changes on perennial crop production and bioenergy supply chain development.
The key issues we need to work on fur…
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![Screen Shot 2020-11-20 at 2 26 50 am](https://user-images.githubusercontent.com/17287173/99687727-172c9680-2ad9-11eb-8fa4-25ad3925db96.png)
Still no clue (matplotlib frequency diagram)
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#### Describe the issue linked to the documentation
Hi all,
target:I am trying to predict the bandwidth of the KernelDensity() on sklearn by using randomized search and bayesian optimization…
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The library currently has no support for items like histograms (1D or 2D), bar charts, contour plots, or even regular line plots with error bars.
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* Defaults for 2d kdes and plot_pair -> scatter vs kde vs hexbin.
* Should it depend on the number of samples to plot?
* Or should the default always be the same but some types like scatter sh…
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This will enable age- or size-structured models, like IPMs.
This requires:
- clean, unambiguous transition formula syntax
- a trait transition function (based around a probability density function)
-…
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**関連論文**
[Saliency Prediction for Mobile Interfaces](https://arxiv.org/abs/1711.03726)
`3.4.2 Element-level Saliency`
```
We convert the pixel-level saliency maps into the UI element-level salie…