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Seminar Archive

E.g., 2016-08-24
E.g., 2016-08-24
Event Code Date Speaker Seminar Title Presentation Material
FOS 24th August 2016 Joseph Gastwirth Some (hopefully) interesting uses of statistical reasoning in legal cases
FOS 24th August 2016 David Lagnado Everyday reasoning about legal cases
FOS 24th August 2016 Norman Fenton Use of Bayesian networks in legal reasoning
FOS 24th August 2016 Patricia Wiltshire Challenges in forensic trace evidence
SNA 24th August 2016 Ernst Wit Network inference in genomics
FOS 24th August 2016 Nadine Smit Vulnerabilities revealed in successful appeal cases in the UK
SNA 24th August 2016 Peter Bickel “Network modeling of topological domains using Hi-C data”
FOS 24th August 2016 Richard Gill The fundamental problem of forensic statistics
FOS 24th August 2016 Jane Hutton Property and competence of witnesses
SNA 23rd August 2016 Yulia Gel The Role of Modern Social Media Data in Surveillance and Prediction of Infectious Diseases: from Time Series to Networks
SNA 23rd August 2016 Elizaveta Levina Interpretable Models for Prediction on Networks with Cohesion
SNA 22nd August 2016 Carey Priebe Semiparametric spectral modeling of the Drosophila connectome
SNA 22nd August 2016 Pieter Trapman Emerging epidemics on networks
SNA 18th August 2016 Frank Granville Ball Epidemics on networks
SNA 17th August 2016 Peter Bickel Rothschild Lecture: From Small Data to Big Data and Back: Statistics and Data Science
DLA 11th August 2016 Peter Christen Talk 2: Evaluation of advanced techniques for multi-party privacy-preserving record linkage on real-world health databases
DLA 11th August 2016 Peter Christen Talk 1: Advanced methods for linking complex historical birth, death, marriage and census data
SNA 11th August 2016 Richard Gibbens Capacity bounds and robustness in multipath networks
SNA 4th August 2016 Patrick Perry Fitting Hierarchical Models in Large-Scale Recommender Systems
SNA 29th July 2016 James Marron Joint and Individual Variation Explained (JIVE)
DLA 28th July 2016 Anne-Sophie Charest Privacy for Bayesian modelling
SNA 28th July 2016 Alberto Caimo Bayesian ERGMs -- computational and modelling challenges
SNAW05 27th July 2016 Sonia Petrone On asymptotic exchangeability and graph evolution
SNAW05 27th July 2016 Mikkel Schmidt Inference in the infinite relational model
SNAW05 27th July 2016 Natalia Bochkina Selection of the Regularization Parameter in Graphical Models using Network Characteristics
SNAW05 27th July 2016 Diana Cai Edge-exchangeable graphs, sparsity, and power laws
SNAW05 27th July 2016 Benjamin Bloem-Reddy Random walk models of networks: modeling and inferring complex dependence
SNAW05 27th July 2016 Mike West Bayesian dynamic modelling of network flows
SNAW05 27th July 2016 Gesine Reinert Estimating the number of communities in a network
SNAW05 26th July 2016 Daniel Roy From Graphon to Graphex: Models and Estimators for Sparse Networks using Exchangeable Random Measures
SNAW05 26th July 2016 Yee Whye Teh Bayesian Hierarchical Community Discovery
SNAW05 26th July 2016 Tyler McCormick Multiresolution network models
SNAW05 26th July 2016 Konstantina Palla A Bayesian nonparametric model for sparse dynamic networks
SNAW05 26th July 2016 Brendan Murphy Latent Space Stochastic Block Model for Social Networks
SNAW05 26th July 2016 Simon Lunagomez Network Models with Dynamic Vertex Sets
SNAW05 26th July 2016 Pierre Latouche Goodness of fit of logistic models for random graphs
SNAW05 26th July 2016 Adrian Raftery Interlocking directorates in Irish companies using bipartite networks: a latent space approach
SNAW05 25th July 2016 Nial Friel Optimal Bayes estimators for block models
SNAW05 25th July 2016 Lise Getoor Statistical Relational Learning: Review and Recent Advances
SNAW05 25th July 2016 Cameron Freer Exchangeable constructions of countable structures
SNAW05 25th July 2016 Harry Crane Edge exchangeability: a new foundation for modeling network data
SNAW05 25th July 2016 Sergio Bacallado Bayesian sequential design in matrix factorisation models
SNAW05 25th July 2016 Alisa Kirichenko Function estimation on large graphs with missing data
SNAW05 25th July 2016 Peter Hoff Bayesian Methods for Networks
SNAW01 15th July 2016 Purna Sarkar Convex Relaxation for Community Detection with Covariates
SNAW01 15th July 2016 David Choi Co-clustering of non-smooth graphons
SNAW01 15th July 2016 Carey Priebe Repeated Motif Hierarchical Stochastic Blockmodels
SNAW01 15th July 2016 Karl Rohe Network driven sampling; a critical threshold for design effects
SNAW01 15th July 2016 Harrison Zhou Some optimality results in network analysis and beyond
SNAW01 15th July 2016 Cristopher Moore Information-theoretic bounds and phase transitions in community detection and high-dimensional clustering
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons