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Sofia Olhede: Network Data Analysis

Tid: On 2018-02-07 kl 15.15 - 17.00

Föreläsare: Sofia Olhede, University College London

Plats: Oskar Klein (AlbaNova)


15:15-16:15 Colloquium lecture by Sofia Olhede in Room Oskar Klein, AlbaNova

16:15-17:00 SMC social get together with refreshments 


A network is a set of entities (vertices) and binary relationships (edges) between them. Statistical analysis of such objects is hindered by the fact that the vertex labelling of the network normally does not carry any information, the network is made from a very large set of vertices, and the number of network edges is relatively modest. A natural assumption to make in this setting is that the network is a realisation of an exchangeable array. I will discuss different methods of data analysis for such types of data with weak assumptions on the data generating mechanism, and what information can be gleaned from different data summaries that both carry structural information, and a notion of scale.

Titel Datum
Philip Maini: Modelling collective cell motion 2018‑09‑26
Leslie Greengard: Inverse problems in acoustic scattering and cryo-electron microscopy 2018‑04‑11
James Norris: Scaling limits for planar aggregation with subcritical fluctuations 2018‑03‑21
Sofia Olhede: Network Data Analysis 2018‑02‑07