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Current bootstrap confidence interval assumes a normal distribution of bootstrapped replicates. Instead, a better approximation would be to use the percentile interval.
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Some time ago a request/suggestion for supporting in `stat_poly_eq()` CIs for the fitted coefficients and other parameter estimates was made. More recently, a pull request at https://github.com/kassam…
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Current `regplot` behavior when `lowess=True` is to ignore the confidence interval (`ci`) and bootstrap (`n_boot`) keyword arguments (example below):
``` python
sns.regplot('obs', 'mod', data=data, l…
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* link to support ticket: [#2024091860000865](https://otrsdict.ugent.be/otrs/index.pl?Action=AgentTicketZoom;TicketID=168503)
* website: https://github.com/CBIGR/HTSplotter
* installation docs: http…
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If I understand correctly, merge #43 introduced what Christensen calls Efron's confidence intervals in section 5.4. He seems to think that this is incorrect when the distribution of the statistic is a…
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This requires updates to the epidemic model to support calculating confidence intervals and updates to the graph to include those intervals.
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Hello everyone,
I am new to PKSim and I have #an issue that is certainly simple to solve. I built a model for large molecule with TMDD interaction. In this particular model I want to estimate two …
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I want to construct Bootstrap Confidence Intervals for XGBoost regression using python. I developed my case based on codes (https://machinelearningmastery.com/calculate-bootstrap-confidence-intervals-…
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Hi,
Thanks for the package, really usefull.
I´m getting a issue that I can´t fix:
" Warning messages:
1: In `levels
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### 🚀 Feature Request
get_anomalies_confidence_interval should work with pipeline instead of model.
### Motivation
This should expand possible option to find outliers.
### Proposal
1. …