Extreme value statistics in Julia

A package for Gaussian random field generation in Julia

Probabilistic programming via source rewriting

Compositional data analysis in Julia

Probabilistic Programming with Gaussian processes in Julia

Causal inference, graphical models and structure learning in Julia

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

A Bayesian Analysis Toolkit in Julia

Survival analysis in Julia

Basis Function Expansions for Julia

Utilities to read/write extended GSLIB files in Julia

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

BayesianNonparametrics in julia

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Online empirical cumulative distribution functions

Jackknife resampling and estimation in Julia

Bayesian inference with probabilistic programming.

Statistical Models with Regularization in Pure Julia

Time series implementation for the Julia language focused on efficiency and flexibility

A Julia package for power laws distributions.

Port-Hamiltonian systems in Julia

Some nonnegative least squares solvers in Julia

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Support tools for solving POMDPs

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

A Julia package for Gaussian Processes

Statistical bootstrap procedures for time-series data

A Julia package to support conjugate prior distributions.

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Training images for geostastical simulation

Adaptive Skip-gram implementation in Julia

⚡ Lightning fast density estimation in Julia ⚡

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⚡ Single-pass algorithms for statistics

Bayesian multi-tensor factorization methods, with side information

Lasso/Elastic Net linear and generalized linear models

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

Generalized Sampling in Julia