Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
Published by DominiqueMakowski 4 months ago
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Bayesian Cognitive Modeling with Turing.jl (Julia Programming Language)
Network Hawkes processes in Julia.
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
A unified interface for simulating and evaluating sequential sampling models in Julia.
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
Slides for the "Interpretable SDM with Julia" workshop
Bayesian Generalized Linear models using `@formula` syntax.
A Julia package for Beta-like regression models useful for subjective scales data (Likert scales,...
Please do not feed the models
Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models