Vaibhav Kumar Dixit

https://hess.copernicus.org/articles/24/5835/2020/

Parameter subset selection techniques

2

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417952/, will add some more resources

https://discourse.julialang.org/t/diffeqsensitivity-parameter-ranges/22435 this could be added.

Random Sampling-High dimensional model representation (RS-HDMR)

2

[Zuniga_Kucherenko.pdf](https://github.com/JuliaDiffEq/DiffEqSensitivity.jl/files/4360236/Zuniga_Kucherenko.pdf) Good stuff, makes running variance based GSA tractable for complex models.

Explicit warning when AD backend not specified correctly for automatic box-constraint handling with Optim

1

## Checklist - [ ] Appropriate tests were added - [ ] Any code changes were done in a way that does not break public API - [ ] All...

Select output type of sparsity pattern

4

I am not 100% sure this would make sense, thinking out loud here - in some scenarios, for example 10*10 hessian, instead of always returning the sparse form of the...

Note for todo

The data handling is quite awkward leading to issues like https://github.com/SciML/OptimizationBase.jl/issues/13, without batching data doesn't need to be passed in specially and should be a part of `p` to avoid...

Use randomized sobol sampling

1

## Checklist - [ ] Appropriate tests were added - [ ] Any code changes were done in a way that does not break public API - [ ] All...