Statistical Models with Regularization in Pure Julia
OTHER License
Regularization paths for MCP and SCAD penalized regression models
Implementation of a Partial Least Squares Regressor
Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive d...
A Julia package for simulation, inference and learning of Hidden Markov Models.
Simple & fast linear regression in Julia
Gaussian Process package based on data augmentation, sparsity and natural gradients
An implementation of a relevance vector machine, a sparse Bayesian version of a SVM
Probabilistic programming via source rewriting
Linear Regression for Julia
Bayesian optimization for Julia
Fast operator-overloading Jacobian & Hessian sparsity detection.
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
A Julia package for robust regressions using M-estimators and quantile regressions
Regression models for beta distributed responses in Julia
Collection of artificial data generators in julia