Michael Baudin
Michael Baudin
Soit $F_{n, \alpha}$ la loi binomiale de paramètres $n$ et $\alpha$.   **Figure 1.** Fonction de répartition de la loi binomiale de paramètres n et α.  **Figure 2.**...
For any discrete random variable with cumulative distribution function $F$, let $k = F^{-1}(\beta)$ be the quantile of level $\beta$. Therefore: $$ F(k - 1) < \beta \leq F(k). $$...
Scary bug! For my own information, I tuned the algorithm so as to get the correct order of magnitude: ```python import openturns as ot from openturns.usecases import cantilever_beam cb =...
To make the review easier, I write below a list of the examples which are changed by the PR: - [plot_estimate_non_parametric_distribution.html](https://openturns.github.io/openturns/latest/auto_data_analysis/distribution_fitting/plot_estimate_non_parametric_distribution.html) - [plot_overfitting_model_selection.html](https://openturns.github.io/openturns/latest/auto_meta_modeling/general_purpose_metamodels/plot_overfitting_model_selection.html) - [plot_optimization_pagmo.html](https://openturns.github.io/openturns/latest/auto_numerical_methods/optimization/plot_optimization_pagmo.html) - [plot_field_fca_sobol.html](https://openturns.github.io/openturns/latest/auto_reliability_sensitivity/reliability_processes/plot_field_fca_sobol.html)
Here is the PDF:  It is true, indeed, that the value x = 1.5 is so that f(0) = 0. But why should this be related to the definition...
You are right. This is done at: https://github.com/openturns/openturns/blob/4fc2024d0cbccb92b4c5f70df8fd36598c903eb5/lib/src/Uncertainty/Model/DistributionImplementation.cxx#L2307 Actually, we do not have the required information in the `Distribution`: is the CDF continuous and strictly increasing? If yes, then `Brent`...
- That would be a good reference from importance_form. - A new help page would be dedicated to the importance factors of a linear model. Then the FORM and Taylor...
> I just wanted to say that I do not agree to mention da Veiga about the importance factors as da Veiga is not the author of these indices and...
@josephmure : I took your suggestions into account. Please review the changes.
@josephmure : Please review this PR.