# Theoretical Foundations for Statistical Network Analysis

Created: | 2016-07-18 16:43 |
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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

This collection contains 131 media items.

### Media items

#### A framework for imperfectly observed networks

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

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

#### Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent Health

McLaughlin, K (Oregon State University)

Thursday 25th August 2016 - 16:20 to 17:00

**Collection**:
Theoretical Foundations for Statistical Network Analysis

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Wed 31 Aug 2016

#### Applying network science to political problems. A conceptual and analytical framework for understanding and predicting...

Fierascu, S I (Central European University)

Friday 26th August 2016 - 10:20 to 10:40

**Collection**:
Theoretical Foundations for Statistical Network Analysis

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Wed 31 Aug 2016

#### Barrier coverage in thin strips

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

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

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

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

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

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

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

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

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

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?

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

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

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

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

#### Component sizes in random graphs with given vertex degrees (the configuration model)

Svante Janson

Thursday 13th October 2016 - 11:30 to 12:30

**Collection**:
Theoretical Foundations for Statistical Network Analysis

**Institution**:
Isaac Newton Institute for Mathematical Sciences

**Created**:
Thu 3 Nov 2016

#### Contact networks and the spread of epidemic disease

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