3 papers
cs.LG2022
Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference
Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen +2
We propose Unity Smoothing (US) for handling inconsistencies between a Bayesian network model and new unseen observations. We show that prediction accuracy, using the junction tree…
stat.AP2021
Computer Algebra in R with caracas
Mikkel Meyer Andersen, Søren Højsgaard
The capability of R to do symbolic mathematics is enhanced by the caracas package. This package uses the Python computer algebra library SymPy as a back-end but caracas is tightly…
stat.CO2021
sparta: Sparse Tables and their Algebra with a View Towards High Dimensional Graphical Models
Mads Lindskou, Søren Højsgaard, Poul Svante Eriksen +1
A graphical model is a multivariate (potentially very high dimensional) probabilistic model, which is formed by combining lower dimensional components. Inference (computation of co…