Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

An open-source toolkit for entropic data analysis

Linear Regression with errors in both X and Y, correlated or not, confidence intervals and plots.

Rigorous moment propagation with partial information about moments and dependencies in Julia

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

Chance-constrained control and pricing for natural gas networks using Julia/JuMP.

Shortest path routing for sailing craft

workspace for AA 228: decision making under uncertainty