Bayesian inference with probabilistic programming.
⚡ Single-pass algorithms for statistics ⚡
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Probabilistic Programming with Gaussian processes in Julia
An extensible framework for high-performance geostatistics in Julia
Time series toolkit for Julia
A Julia package for Gaussian Processes
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Hypothesis tests for Julia
Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
Bayesian Networks for Julia
LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.
Kernel density estimators for Julia
Causal, Higher-Order, Probabilistic Programming
Time series implementation for the Julia language focused on efficiency and flexibility
Statistical bootstrapping library for Julia
System Identification toolbox for LTI systems, compatible with ControlSystems.jl
A Julia package for manifold learning and nonlinear dimensionality reduction
Large scale Gaussian Mixture Models
Hidden Markov Models for Julia.
⚡ Lightning fast density estimation in Julia ⚡
BayesianNonparametrics in julia
Bayesian multi-tensor factorization methods, with side information
The julia package for nonparametric density estimate and regression
Statistical bootstrap procedures for time-series data
Extreme value statistics in Julia
Basis Function Expansions for Julia
Jackknife resampling and estimation in Julia
A collection of robust statistical tests in Julia
Compositional data analysis in Julia