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Be able to calculate intervals for all ASVs and without having to use `plot`
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It would be interesting to be able to add bootstrapping functionnality from residuals of a model of the time series, this would help :
1. to compute prediction intervals when the method doesn't su…
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Hello
I am using DeepAR for my dataset and I am obtaining results with DeepAR which have very "wide coverage".I want to reduce the width of prediction intervals which I am not able to understand tha…
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Model specification and selection
- [ ] how is it related with design?
- [ ] what is the recommended steps
- [ ] interaction?
- [ ] `lme4` and `brms` interface to specify model
- [ ] diagnostic…
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Hi. I have carried out a modelling using the function quantregForest 1.3-7. e.g.
qrfozone
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using the approach laid out in:
https://github.com/dswah/pyGAM/issues/154
dswah updated
6 years ago
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"confidence interval" as used in {modeltime} refers to "prediction interval" in the sense that Hyndman means in [The difference between prediction intervals and confidence intervals](https://robjhyndm…
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For a specific application I would like to be able to calculate confidence and prediction intervals. Would it be hard to incorporate these in the predict method of bbmle?
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For `sklearn` **version 0.23.2**, the parameter `criterion` of `RandomForestRegressor` only supports `mse` and `mae`. Is there any plan to extend these two options for a general quantile (e.g. 95% q…
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Here's a list of all features / issues etc., to have a global view and avoid opening multiple issues.
- [x] API Design (https://github.com/easystats/insight/issues/310)
- [x] Fix for "log()" terms…