This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Test cases for BAT.jl and for Bayesian Julia software in general

Standard data cleaning tools prior to generating BEAST xml file

Optimization library for Baytes modules

Bayesian regression models for size-and-shape data

A prototype of a reactive Webapp for bitemporal data management of insurance contracts.

Common solvers within orbital mechanics and astrodynamics.

Julia wrapper for ABIDES-Markets

Standard environments for benchmarking the performance of RL algorithms.

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A box-picking POMDP created using POMDPs.jl

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

Wrappers to differentiate `ModelWrapper` structs, see ModelWrappers.jl.

A library to perform particle filtering for one parameter in a `ModelWrapper` struct.

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A Julia package for simulation, verification and parameter estimation of Biochemical Networks with Approximate Bayesian Computation (ABC) methods.

Access data from the Allen Institute's open Neuropixels datasets

Load, format, analyze, and plot the Allen Neuropixels datasets

Adds plotting capabilities to BoltzmannMachines.jl

A library to perform MCMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl.

Julia package that provides closed-form expressions for computing the expectation of a function

Colocalization metrics and distances for images or their sparse representations.

A library to perform particle MCMC proposal steps for parameter in a `ModelWrapper` struct, see [ModelWrappers.jl](https://github.com/paschermayr/ModelWrappers.jl).