Models of humans' social interaction with Statistical Physics, Bayesian Methods and Information Theory
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Updated
Aug 2, 2018 - Julia
Models of humans' social interaction with Statistical Physics, Bayesian Methods and Information Theory
Framework for indirect likelihood estimation.
A Julia package for bayesian probabilistic matrix factorization (BPMF).
Graphical tools for Bayesian inference and posterior predictive checks.
Is there anything we can't make Bayesian?
This package starts from the monistic thought that bodily facts and conscious facts, though not reducible one to the other, are different sides of one reality. Its originality lies in trying to discover an exact mathematical relation between them.
Markov Chain Monte Carlo convergence diagnostics in Julia
Bayesian gene tree reconciliation and WGD inference using amalgamated likelihood estimation
A Julia Package for Bayesian Nonparametric Analysis for Machine Learning
Tools for estimating BVAR models, producing forecasts, and reporting results. Based on the review in Karlsson (2013).
Implementations for some distributions using a consistent API and AD-friendly code.
A common framework for implementing and using log densities for inference.
A set of tutorials for building likelihood based models in ACT-R
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Bayesian Information Gap Decision Theory
SMARTboost (boosting of smooth symmetric regression trees)
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