Julia package which implements and explores the Likelihood-based Profile Wise Analysis workflow for uncertainty quantification

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Confidence bands for simultaneous statistical inference

Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed data

Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)