| EM-based smooth graphon estimation using MCMC and spline-based approaches B Sischka, G Kauermann Social Networks 68, 279-295, 2022 | 14 | 2022 |
| Mixture models and networks: The stochastic blockmodel G De Nicola, B Sischka, G Kauermann Statistical Modelling 22 (1-2), 67-94, 2022 | 12 | 2022 |
| Stochastic block smooth graphon model B Sischka, G Kauermann arXiv preprint arXiv:2203.13304, 2022 | 6 | 2022 |
| Mixture Models and Networks--Overview of Stochastic Blockmodelling G De Nicola, B Sischka, G Kauermann arXiv preprint arXiv:2005.09396, 2020 | 1 | 2020 |
| Graphon models for network data: estimation, extensions and applications B Sischka lmu, 2023 | | 2023 |
| Nonparametric Two-Sample Test for Networks Using Joint Graphon Estimation B Sischka, G Kauermann arXiv preprint arXiv:2303.16014, 2023 | | 2023 |
| EM based smooth Graphon Estimation using Bayesian and Spline based Approaches G Kauermann, B Sischka arXiv e-prints, arXiv: 1903.06936, 2019 | | 2019 |
