Nonlinear regression in Julia
Linear Regression for Julia
Optimization functions for Julia
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadra...
A Julia package that implements a category of reaction (transportation) network-type dynamical sy...
Implementation of a Partial Least Squares Regressor
Regularization paths for MCP and SCAD penalized regression models
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE...
Julia AMPL Models Conforming to NLPModels.jl
MarSwitching.jl: Julia package for Markov switching dynamic models
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
StateSpaceLearning.jl is a Julia package for time-series analysis using state space learning fram...
A lightweight framework to enable hierarchical, heterogeneous dynamical systems co-integration. B...
A Julia package for robust regressions using M-estimators and quantile regressions