Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Julia

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Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Smoothing kernels for use in kernel regression and kernel density estimation

Implementation of recombinator-k-means

Generalized Sampling in Julia

Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals

Utilities to read/write extended GSLIB files in Julia

Julia module for Detrended Cross-Correlation Analysis.

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

Training images for geostastical simulation

Support tools for solving POMDPs

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A collection of robust statistical tests in Julia

Julia package for using Jags as an external program

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Compositional data analysis in Julia

Jackknife resampling and estimation in Julia

Least angle regression and the lasso covariance test

Causal inference in non-linear dynamics systems

Basis Function Expansions for Julia

Numerical stabilization routines for determinant quantum Monte Carlo

Extreme value statistics in Julia

Statistical bootstrap procedures for time-series data

The julia package for nonparametric density estimate and regression

Bayesian multi-tensor factorization methods, with side information

BayesianNonparametrics in julia

Some nonnegative least squares solvers in Julia

Quantile regression in Julia

Statistical Models with Regularization in Pure Julia

Simple least squares and curve fitting functions

⚡ Lightning fast density estimation in Julia ⚡

Hidden Markov Models for Julia.

A Julia package for manifold learning and nonlinear dimensionality reduction

Large scale Gaussian Mixture Models

Algorithms for regression analysis (e.g. linear regression and logistic regression)

System Identification toolbox for LTI systems, compatible with ControlSystems.jl

Statistical bootstrapping library for Julia

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

Causal, Higher-Order, Probabilistic Programming