142 citations · 153 across the 10 of their papers we have counts for
Showing 2012 · stat.MEShow all
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stat.ME2012★ 142 cited
Bayesian Structure Learning in Sparse Gaussian Graphical Models
A. Mohammadi, E. C. Wit
Decoding complex relationships among large numbers of variables with relatively few observations is one of the crucial issues in science. One approach to this problem is Gaussian g…
stat.ME2012★ 2 cited
Factorial graphical lasso for dynamic networks
E. C. Wit, A. Abbruzzo
Dynamic networks models describe a growing number of important scientific processes, from cell biology and epidemiology to sociology and finance. There are many aspects of dynamica…
stat.ME2012
Modelling slowly changing dynamic gene-regulatory networks
Antonino Abbruzzo, Ernst Wit
Dynamic gene-regulatory networks are complex since the number of potential components involved in the system is very large. Estimating dynamic networks is an important task because…