1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
Detecting Outliers in High-dimensional Data with Mixed Variable Types using Conditional Gaussian Regression Models
Mads Lindskou, Torben Tvedebrink, Poul Svante Eriksen +1
Outlier detection has gained increasing interest in recent years, due to newly emerging technologies and the huge amount of high-dimensional data that are now available. Outlier de…
DNA mixture deconvolution using an evolutionary algorithm with multiple populations, hill-climbing, and guided mutation
Søren B. Vilsen, Torben Tvedebrink, Poul Svante Eriksen
DNA samples crime cases analysed in forensic genetics, frequently contain DNA from multiple contributors. These occur as convolutions of the DNA profiles of the individual contribu…
The multivariate Dirichlet-multinomial distribution and its application in forensic genetics to adjust for sub-population effects using the θ-correction
Torben Tvedebrink, Poul Svante Eriksen, Niels Morling
In this paper, we discuss the construction of a multivariate generalisation of the Dirichlet-multinomial distribution. An example from forensic genetics in the statistical analysis…