Articles by Jonas Haslbeck - r

Predictability in Network Models

October 31, 2016 | Jonas Haslbeck - r

Network models have become a popular way to abstract complex systems and gain insights into relational patterns among observed variables in almost any area of science. The majority of these applications focuses on analyzing the structure of the network... [Read more...]

Estimating mixed graphical models

November 30, 2015 | Jonas Haslbeck - r

Determining conditional independence relationships through undirected graphical models is a key component in the statistical analysis of complex obervational data in a wide variety of disciplines. In many situations one seeks to estimate the underlying graphical model of a dataset that includes variables of different domains. As an example, take ... [Read more...]

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