| Grant number: | 17/25926-4 |
| Support type: | Scholarships in Brazil - Post-Doctorate |
| Effective date (Start): | April 01, 2018 |
| Effective date (End): | January 12, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics |
| Principal Investigator: | Nancy Lopes Garcia |
| Grantee: | Andressa Cerqueira |
| Home Institution: | Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
| Associated research grant: | 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat, AP.CEPID |
| Associated scholarship(s): | 18/18115-2 - Statistical inference on networks, BE.EP.PD |
Abstract The objective of this project is to study a spatial network model with set of vertices given by a locally finite set of R^d. Our goal is the construction of an infinite volume Gibbs measure for which the probability of observing a graph is based on the graph's statistics (triangles, stars, vertices degree) and it penalizes edges between nodes that are very far apart. | |