Theoretical Foundations for Statistical Network Analysis

Theoretical Foundations for Statistical Network Analysis's image
Created: 2016-07-18 16:43
Institution: Isaac Newton Institute for Mathematical Sciences
Description: The core of this 6-month programme is understanding and quantifying mathematical structure in network models. Networks are ubiquitous in modern science and society. In fact, whenever we observe entities and relationships between them, we have network data. The behaviour of almost all networks, natural or engineered, physical or information-based, involves a strong component of randomness and is typically not fully or directly observed. Considerable open challenges remain in proving properties both of generative mechanisms for such networks, as well as of methods for inference. This motivates the development of theoretical foundations for statistical network analysis. In support of this goal, the programme aims to:

Identify core problems in the mathematical foundations of networks whose solution will yield generic tools, thus creating a body of coherent and broadly useful results
Build a dialogue between the mathematical fields that will contribute to this foundation, and build a community of researchers spanning these areas
Link these core mathematical problems to important applications, including the modelling and analysis of large-scale real-world networks

To support these aims, four interlinked focus areas will run throughout the programme:

Statistical Asymptotics of Networks
Statistical Models for Networks
Large-Scale Algorithms
Dynamics in Networks

The programme will feature an opening, midterm and closing workshop at the Isaac Newton Institute, as well as a Satellite Meeting and an Open for Business industry day ( Tuesday 1st November 2016).
 

Media items

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Media items

A framework for imperfectly observed networks

   24 views

Aldous, D (University of California)
Tuesday 12th July 2016 - 09:00 to 09:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 19 Jul 2016


A network epidemic model with preventive rewiring: comparative analysis of the initial phase

   13 views

Britton, T (Stockholm University)
Tuesday 13th December 2016 - 09:30 to 10:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 20 Dec 2016


Barrier coverage in thin strips

   9 views

Balister, P (University of Memphis)
Wednesday 13th July 2016 - 11:45 to 12:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 20 Jul 2016


Bayesian dynamic modelling of network flows

   60 views

West, M (Duke University)
Wednesday 27th July 2016 - 10:00 to 10:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Thu 28 Jul 2016


Bayesian ERGMs -- computational and modelling challenges

   4 views

Caimo, A (Dublin Institute of Technology)
Thursday 28th July 2016 - 09:15 to 10:15

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 23 Aug 2016


Bayesian Hierarchical Community Discovery

   11 views

Teh, Y W (University of Oxford, University of Oxford)
Tuesday 26th July 2016 - 14:00 to 14:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Thu 28 Jul 2016


Bayesian Methods for Networks

   54 views

Hoff, P University of Washington
Monday 25th July 2016 - 10:00 to 11:00

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Thu 28 Jul 2016


Bayesian modeling of networks in complex business intelligence problems

   17 views

Durante, D (Università degli Studi di Padova)
Thursday 25th August 2016 - 14:10 to 14:50

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 31 Aug 2016


Bayesian modelling of Dupuytren disease using Gaussian copula graphical models

   23 views

Mohammadi, R (Universiteit van Tilburg, University of Groningen)
Friday 26th August 2016 - 09:40 to 10:20

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 31 Aug 2016


Bayesian Poisson Tensor Decomposition for International Relations

   21 views

Wallach, H (Microsoft Research)
Thursday 15th December 2016 - 11:15 to 12:00

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 3 Jan 2017


Bayesian sequential design in matrix factorisation models

   17 views

Bacallado, S (University of Cambridge)
Monday 25th July 2016 - 12:00 to 12:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Thu 28 Jul 2016


Bootstrap percolation and kinetically constrained spin models: critical lengths and mixing time scales

   14 views

Martinelli, F (Università degli Studi Roma Tre)
Wednesday 13th July 2016 - 09:45 to 10:30

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 19 Jul 2016


Can you see the sound of a drum?

   22 views

Kenyon, R (Brown University)
Tuesday 12th July 2016 - 09:30 to 10:00

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 19 Jul 2016


Capacity bounds and robustness in multipath networks

   20 views

Gibbens, R (University of Cambridge)
Thursday 11th August 2016 - 14:00 to 15:00

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 24 Aug 2016


Circuits principles of memory-based behavioral choice

   8 views

Zlatic, M (Other)
Thursday 10th November 2016 - 10:00 to 11:00

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 21 Nov 2016


Co-clustering of non-smooth graphons

   18 views

Choi, D (Carnegie Mellon University)
Friday 15th July 2016 - 15:30 to 16:00

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 20 Jul 2016


Contact networks and the spread of epidemic disease

   33 views

Newman, M (University of Michigan)
Wednesday 13th July 2016 - 14:15 to 14:45

Collection: Theoretical Foundations for Statistical Network Analysis

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 20 Jul 2016


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