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Currently, the bandwidth in `d` dimensions is `bw * np.eye(d)`---the covariance matrix is a multiple of the identity. As a result, the KDE works best if anisotropic data is shifted, rotatated and scal…
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I have wanted this for a long time but no code yet.
How heavy is the tail of a distribution. A experimental notebook https://gist.github.com/josef-pkt/3c66541ceed9447d7a9bce6ed0b8959e
Matlab has…
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以下是其中一些常用的方法可以檢測 DataFrame 中的欄位分布是否單峰：
1. 直方圖 (histogram)：繪製欄位的直方圖，觀察是否存在明顯的多個峰值。
2. 密度圖 (density plot)：繪製欄位的密度圖，觀察是否存在明顯的多個峰值。
3. 核密度估計 (kernel density estimation)：使用核密度估計方法估計欄位的概…
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In `RainSlide::thresh` there is an option to avoid fitting to a Gaussian function (`use.normal = FALSE`). If this option is used, the standard error is calculated as `m.PDF.sigma
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My issue is about the [gaussian kde](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.gaussian_kde.html). I wanted to run an example of multivariate kernel density estimation I saw…
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similar to #7445 histogram copula
What should be the design for an empirical multivariate distribution or empirical copula.
Currently, WIP in #7408, I have written a ECDF function with some spee…
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Quite useful and visually attractive: http://blog.enthought.com/general/visualizing-uncertainty/
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Hello,
I am interested in using your package, but I am not a domain expert in kde estimation or products of them.
From the ReadMe it is not clear to me what methods I may call on a BallTreeDensity…
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Part of the challenge with redeploying this cool model is that Chicago's food inspection data is as you can imagine somewhat different from say LA's, which is run by the County rather than the city. …