Network data arises through observation of relational information betwee...
Measuring the distance between data points is fundamental to many statis...
We provide a general framework for constructing probability distribution...
Modelling multiple network data is crucial for addressing a wide range o...
A rich class of network models associate each node with a low-dimensiona...
There is increasing appetite for analysing multiple network data. This i...
We adopt the statistical framework on robustness proposed by Watson and
...
In a polynomial regression model, the divisibility conditions implicit i...
The increasing prevalence of relational data describing interactions amo...
This article introduces a new class of models for multiple networks. The...
Some of the most used sampling mechanisms that propagate through a socia...
A parametrization of hypergraphs based on the geometry of points in
R^d ...