49 citations · 65 across the 7 of their papers we have counts for
8 papers
Generating large Ising models with Markov structure via simple linear relations
Nanny Wermuth, Giovanni M. Marchetti
We extend the notion of a tree graph to sequences of prime graphs which are cycles and edges and name these non-chordal graphs hollow trees. These structures are especially attract…
Palindromic Bernoulli distributions
Giovanni M. Marchetti, Nanny Wermuth
We introduce and study a subclass of joint Bernoulli distributions which has the palindromic property. For such distributions the vector of joint probabilities is unchanged when th…
Binary distributions of concentric rings
N. Wermuth G. M. Marchetti P. Zwiernik
We introduce families of jointly symmetric, binary distributions that are generated over directed star graphs whose nodes represent variables and whose edges indicate positive depe…
Star graphs induce tetrad correlations: for Gaussian as well as for binary variables
Nanny Wermuth, Giovanni M. Marchetti
Tetrad correlations were obtained historically for Gaussian distributions when tasks are designed to measure an ability or attitude so that a single unobserved variable may generat…
Case-control studies for rare diseases: improved estimation of several risks and of feature dependences
Nanny Wermuth, Giovanni M. Marchetti
To capture the dependences of a disease on several risk factors, a challenge is to combine model-based estimation with evidence-based arguments. Standard case-control methods allow…
Chain graph models of multivariate regression type for categorical data
Giovanni M. Marchetti, Monia Lupparelli
We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independen…