activity
20152022
most citedEquations defining probability tree models

14 citations · 28 across the 6 of their papers we have counts for

collaborators

7 papers

math.HO2022★ 2 cited

Research-Data Management Planning in the German Mathematical Community

Tobias Boege, René Fritze, Christiane Görgen +13

In this paper we discuss the notion of research data for the field of mathematics and report on the status quo of research-data management and planning. A number of decentralized a…

math.ST2020★ 2 cited

The curved exponential family of a staged tree

Christiane Görgen, Manuele Leonelli, Orlando Marigliano

Staged tree models are a discrete generalization of Bayesian networks. We show that these form curved exponential families and derive their natural parameters, sufficient statistic…

stat.ML2018★ 4 cited

Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions

Christiane Goergen, Manuele Leonelli

The accuracy of probability distributions inferred using machine-learning algorithms heavily depends on data availability and quality. In practical applications it is therefore fun…

math.ST2018★ 14 cited

Equations defining probability tree models

Eliana Duarte, Christiane Görgen

Coloured probability tree models are statistical models coding conditional independence between events depicted in a tree graph. They are more general than the very important class…

math.ST2017

Discovery of statistical equivalence classes using computer algebra

Christiane Görgen, Anna Bigatti, Eva Riccomagno +1

Discrete statistical models supported on labelled event trees can be specified using so-called interpolating polynomials which are generalizations of generating functions. These ad…

cs.AI2015★ 6 cited

Sensitivity analysis, multilinearity and beyond

Manuele Leonelli, Christiane Görgen, Jim Q. Smith

Sensitivity methods for the analysis of the outputs of discrete Bayesian networks have been extensively studied and implemented in different software packages. These methods usuall…