2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Matrix-free Penalized Spline Smoothing with Multiple Covariates
Julian Wagner, Göran Kauermann, Ralf Münnich
The paper motivates high dimensional smoothing with penalized splines and its numerical calculation in an efficient way. If smoothing is carried out over three or more covariates t…
Mixture Models and Networks -- Overview of Stochastic Blockmodelling
Giacomo De Nicola, Benjamin Sischka, Göran Kauermann
Mixture models are probabilistic models aimed at uncovering and representing latent subgroups within a population. In the realm of network data analysis, the latent subgroups of no…
Intensity Estimation on Geometric Networks with Penalized Splines
Marc Schneble, Göran Kauermann
In the past decades, the growing amount of network data has lead to many novel statistical models. In this paper we consider so called geometric networks. Typical examples are road…
Regression-based Network Reconstruction with Nodal and Dyadic Covariates and Random Effects
Michael Lebacher, Göran Kauermann
Network (or matrix) reconstruction is a general problem which occurs if the margins of a matrix are given and the matrix entries need to be predicted. In this paper we show that th…