v0.12.0

UncertaintyQuantification v0.12.0

Diff since v0.11.0

No breaking changes. Just plenty of new features and fixes. Most notable updates:

• Added Stochastic Dynamics feature
  • Power Spectral Density Estimation
  • Stochastic Process Generation
• Added Variational Inference
  • maximum likelihood and maximum a posteriori estimates
• Updated Kernel Density Estimaton
  • the resulting distribution has a slightly different (but more accurate) support than the previous implementation.

Merged pull requests:

• Add Variational inference (#203) (@jgrashorn)
• Add stochastic dynamics (#218) (@FriesischScott)
• Fix formatting issue for subset infinity. (#236) (@FriesischScott)
• Fix broadcasting of inputs (#238) (@FriesischScott)
• Add custom kernel density estimation (#239) (@FriesischScott)
• Throw error for non consistent Beta mean parameter (#241) (@andreaperin)
• Allow different sims for double loop bounds (#242) (@FriesischScott)
• Add URL to doc preview in Github workflow (#243) (@FriesischScott)
• Update Documenter (#244) (@FriesischScott)

Closed issues:

• Stochastic Processes (#72)
• Variational inference (#172)
• Get rid of KernelDensity.jl (#187)
• Double Loop and random slicing don't return same things (#210)
• Formating issues with external Models and Subset (#235)
• mean value for Beta distribution not in (0; 1) (#240)