JuliaDynamics / Associations.jl
Algorithms for quantifying associations, independence testing and causal inference from data.
☆151Updated last month
Related projects ⓘ
Alternatives and complementary repositories for Associations.jl
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆121Updated last week
- Implementation of variational Bayes inference algorithms☆83Updated this week
- Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt…☆120Updated last month
- Robust implementation for random-walk Metropolis-Hastings algorithms☆93Updated last week
- Fast, general-purpose interactive applications for complex systems☆173Updated 4 months ago
- Implementation of normalising flows and constrained random variable transformations☆202Updated this week
- Implementation of domain-specific language (DSL) for dynamic probabilistic programming☆164Updated this week
- Exploratory analysis of Bayesian models with Julia☆106Updated last week
- Causal inference, graphical models and structure learning in Julia☆190Updated 2 weeks ago
- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms☆56Updated last month
- Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms☆243Updated this week
- Sampling from intractable distributions, with support for distributed and parallel methods☆86Updated this week
- Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with dif…☆141Updated this week
- Specifying, fitting, and evaluating statistical models in Julia☆251Updated 2 months ago
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆111Updated 2 years ago
- Causal.jl - A modeling and simulation framework adopting causal modeling approach.☆115Updated 2 years ago
- Fast and automatic structural identifiability software for ODE systems☆112Updated this week
- Abstract types and interfaces for Markov chain Monte Carlo methods☆87Updated last week
- A Julia implementation of basic tools for time series analysis compatible with incomplete data.☆121Updated last year
- Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox☆144Updated this week
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆101Updated 2 years ago
- Grid-based simulations in Julia☆222Updated last week
- A Julia package for simulation, inference and learning of Hidden Markov Models.☆87Updated last month
- Abstract types and methods for Gaussian Processes.☆220Updated 2 weeks ago
- Tools for the exploration of chaos and nonlinear dynamics☆189Updated this week
- Boosted trees in Julia☆176Updated last week
- Hidden Markov Models for Julia.☆94Updated last year
- StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)☆98Updated 5 months ago
- Julia package for simulating Dynamics on Networks☆128Updated this week
- Preheat your MCMC☆75Updated this week