Julia package for Hidden Markov Model

Extreme value statistics in Julia

Online empirical cumulative distribution functions

BayesianNonparametrics in julia

Bayesian multi-tensor factorization methods, with side information

Numerical stabilization routines for determinant quantum Monte Carlo

The julia package for nonparametric density estimate and regression

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Statistical bootstrap procedures for time-series data

Least angle regression and the lasso covariance test

Basis Function Expansions for Julia

Jackknife resampling and estimation in Julia

Multivariate Gaussian Direct Coupling Analysis for residue contact prediction in protein families - Julia module

A collection of robust statistical tests in Julia

Bloom filters in Julia

Julia package for using Jags as an external program

Pareto smoothed importance sampling

Archive of functions that emulate R's d-p-q-r functions for probability distributions

Causal inference in non-linear dynamics systems

[deprecated] P-value adjustment methods for multiple testing correction

Training images for geostastical simulation

Dirichlet Process Mixture Models in Julia

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

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Support tools for solving POMDPs

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A Julia package for evaluation of divergences between distributions

Regularized discriminant analysis in Julia.

Cointegration in Vector Error Correction Models in Julia

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Local polynomial regression and density estimation in Julia.

Julia module for Detrended Cross-Correlation Analysis.

Utilities to read/write extended GSLIB files in Julia

A Julia package for power laws distributions.

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

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

Generalized Sampling in Julia

Implementation of recombinator-k-means

Rank aggregation in Julia

Smoothing kernels for use in kernel regression and kernel density estimation