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
A Julia package for Gaussian Processes
Time series toolkit for Julia
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
An extensible framework for high-performance geostatistics in Julia
LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.
Stan.jl illustrates the usage of the new 'single method' packages, e.g. StanSample, StanOptimize, etc.
Hypothesis tests for Julia
Bayesian Networks for Julia
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
A Julia package for manifold learning and nonlinear dimensionality reduction
Large scale Gaussian Mixture Models
System Identification toolbox for LTI systems, compatible with ControlSystems.jl
Hidden Markov Models for Julia.
ASH density estimation in pure 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
Causal inference in non-linear dynamics systems
Jackknife resampling and estimation in Julia
Basis Function Expansions for Julia
Extreme value statistics in Julia
Julia package for using Jags as an external program