Geospatial transforms for the GeoStats.jl framework

Empirical Bayes shrinkage in Julia

Cloudy Mountain Plot function in Julia

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Models of gas-phase atmospheric chemistry and related processes

This Package comprises a collection of ensemble algorithms for prediction, in order to improve the predictive performance for classification and regression problems.

A Julia solver of Ring Star Problem variants

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Particle filtering using the Feynman-Kac formalism

A Julia package for integrative cluster analysis of multiple genomics datasets

Implicitly defined graphs (possibly infinite)

Switched-On Bayes.

Statistical learning models for tabular data

Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"

Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum

Julia Package for randomized diagonal estimation of matrices and matrix functions

A Julia package for building, and running Biochemical Systems Theory (BST) models

Generate nice reports from MCMC-based approximations

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Statistical Process Monitoring in Julia

Package for solving generalized BdG mean field theory of interacting systems.

Implement the Kasahara-Shimotsu Test to decide number of components in Gaussian Mixture Model.

Differential Inequality Algorithms for Parametric ODEs

Linear mixed model genome scans for many traits

Hypothesis Tests for Validating MCMC Kernels

Conduct one-way and multi-way anova in Julia with GLM.jl

Causal forests following HTERF method and their interpretabilty

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Tools for Visualization of Quantum Annealing

Probabilistic inference using the symbolic method.

MCMCDebugging.jl: debugging utilities for MCMC samplers

Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed data

Manifolds for the natural parameters of members of the exponential family of distributions

Tiny Gibbs sampler making use of AbstractMCMC.jl and MCMCChains.jl

Simulate Machine Learning-based Business Processes in Julia

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This package provides a numerical method of applying linear noise approximation (LNA) to a given reaction system

Inverse distance estimation solver for the GeoStats.jl framework

Invariant Causal Prediction in pure Julia