74 citations · 319 across the 18 of their papers we have counts for
5 papers · 1 filter
Markov properties for mixed graphs
Kayvan Sadeghi, Steffen Lauritzen
In this paper, we unify the Markov theory of a variety of different types of graphs used in graphical Markov models by introducing the class of loopless mixed graphs, and show that…
Estimation of Parameters in DNA Mixture Analysis
Therese Graversen, Steffen Lauritzen
In Cowell et al. (2007), a Bayesian network for analysis of mixed traces of DNA was presented using gamma distributions for modelling peak sizes in the electropherogram. It was dem…
Proper local scoring rules on discrete sample spaces
A. Philip Dawid, Steffen Lauritzen, Matthew Parry
A scoring rule is a loss function measuring the quality of a quoted probability distribution for a random variable , in the light of the realized outcome of ; it is p…
Proper local scoring rules
Matthew Parry, A. Philip Dawid, Steffen Lauritzen
We investigate proper scoring rules for continuous distributions on the real line. It is known that the log score is the only such rule that depends on the quoted density only thro…
Estimation of means in graphical Gaussian models with symmetries
Helene Gehrmann, Steffen L. Lauritzen
We study the problem of estimability of means in undirected graphical Gaussian models with symmetry restrictions represented by a colored graph. Following on from previous studies,…