UncertaintyQuantification.jl
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FriesischScott
Uncertainty Quantification in Julia
https://www.sciencedirect.com/science/article/pii/S0377221712008995
Add some plotting recipes for, e.g.: * Inputs (random variables, inputs, p-boxes, bivariate distributions). * A sampled dataframe of input / outputs. * Some simulation methods (e.g., various levels of...
The problem here is the dependency on *FFTW.jl* which itself depends on *MKL*... Since all we use it for is estimation of the pdf for the empirical distribution I'm thinking...
This PR introduces two main changes: 1. The `ProbabilityBox` is now without `name` and has to be wrapped inside a `RandomVariable` (now a parametric type) - Additionally, a pbox is...
**Related Issue**: - This PR introduces a draft for the implementation of Gaussian processes, as outlined in issue #190. **Description**: - This PR defines a Gaussian process using `AbstractGPs.jl`, where...
I'm thinking we should wrap external solver calls in a `try-catch` and return `missing` on failures. This way you don't lose the whole analysis because of one failure. Obviously we...
It would be useful for Bayesian updating to have some generalized likelihood as input to the Bayesian updating. The main motivation would be to make the definition easier for the...
Some clusters don't allow for `--mem-per-cpu` definitions. Easy fix by removing the following line from `test/hpc/slurm.jl` https://github.com/FriesischScott/UncertaintyQuantification.jl/blob/c3ba440caf0116d725a974549f014b27c1d15d11/test/hpc/slurm.jl#L158