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I tend to do something like this, but it’s pretty inefficient and requires integer weights:
```js
var values = d3.merge(samples.map(s => d3.range(weight(s)).map(() => value(s))));
```
A relate…
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Currently, [summary](https://github.com/pyro-ppl/numpyro/blob/master/numpyro/diagnostics.py#L219) returns ordinary statistics mean/var/quantiles/n_eff for MCMC samples. It would be nice to extend that…
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Hi, I clearly lack subtelty about the various definitions of weighted quantiles (and I passed quickly over the above discussion as a result), but I thought I'd share another, more obvious example of w…
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### What happened?
`DataArrayWeighted.quantile` returns incorrect numbers for weighted quantiles.
As an example, passing a quantile of `1` should return the maximum value by definition, but when…
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@nspope sent me this, which is a good core for a new tutorial on cross coalescence rates. Probably worth waiting until some of the core functionality (e.g. `rates_from_ecdf`) is implemented in _tskit_…
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Hi,
I suppose even the stat3 should be updated as it gives quantiles on non weighted data.
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I would like to show weighted medians in `geom_density_ridges().` The most intuitive way to get there would be to pass `x` and `weight` to my `quantile_fun` ... but I don't think that is possible at p…
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Use `sample_weight` in the binning of `HistGradientBoostingClassifier` and `HistGradientBoostingRegressor`, or allow it via an option.
Currently, sample weights are ignored in the `_BinMapper`.
…
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This is a parent issue to add support for the data type [`AggregateFunction`](https://clickhouse.com/docs/en/sql-reference/data-types/aggregatefunction). Several different categories of quantile funct…
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### Problem description
Hi - I would find it very useful to be able to perform the "quantile" methods on DataFrames (and ideally LazyFrames) with a optional sample weight column please.
Something…