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Seminars (SIN)

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Event When Speaker Title
SINW01 3rd July 2017
13:30 to 14:15
Sylvia Richardson tba
SINW01 3rd July 2017
14:15 to 15:00
Alexandre Bouchard Monte Carlo without rejection
SINW01 3rd July 2017
15:30 to 16:15
Helen Ogden Inference with approximate likelihoods
SINW01 3rd July 2017
16:15 to 17:00
Havard Rue tba
SINW01 4th July 2017
09:00 to 09:45
Michael Jordan tba
SINW01 4th July 2017
09:45 to 10:30
Anthony Lee tba
SINW01 4th July 2017
11:00 to 11:45
Steven Scott Comparing Consensus Monte Carlo Strategies for Distributed Bayesian Computation
SINW01 4th July 2017
11:45 to 12:30
Jun Liu tba
SINW01 4th July 2017
13:30 to 14:15
Tamara Broderick Coresets for scalable Bayesian logistic regression
SINW01 4th July 2017
14:15 to 15:00
Cristiano Varin Designing efficient composite likelihoods to model temporal and spatial variation in disease incidence
SINW01 4th July 2017
15:30 to 16:15
Kerrie Mengersen tba
SINW01 4th July 2017
16:15 to 17:00
Darren Wilkinson Category theory and functional programming for scalable statistical modelling and computational inference
SINW01 5th July 2017
09:00 to 09:45
Paul Fearnhead Asymptotics of Approximate Bayesian Computation
SINW01 5th July 2017
09:45 to 10:30
Wentao Li Validating approximate Bayesian computation on posterior convergence
SINW01 5th July 2017
11:00 to 11:45
Sam Livingstone Kinetic energy choice on Hamiltonian/hybrid Monte Carlo
SINW01 5th July 2017
11:45 to 12:30
Christophe Andrieu tba
SINW01 5th July 2017
13:30 to 14:15
Murray Pollock Exact Bayesian Inference for Big Data: Single- and Multi-Core Approaches
SINW01 5th July 2017
14:15 to 15:00
Gareth Roberts Optimisation and complexity for Gibbs samplers for hierarchical and crossed-effect models
SINW01 5th July 2017
15:30 to 16:15
Chris Holmes Fast Bayesian Boolean Matrix Factorisation
SINW01 5th July 2017
16:15 to 17:00
Louis Aslett Towards Encrypted Inference for Arbitrary Models
SINW01 6th July 2017
09:00 to 09:45
Helen Zhang Hierarchy-preserving regularization solution paths for identifying interactions in high dimensional data
SINW01 6th July 2017
09:45 to 10:30
Katherine Heller Mobile Apps and Machine Learning for Improving Healthcare
SINW01 6th July 2017
11:00 to 11:45
James Scott Detecting radiological anomalies
SINW01 6th July 2017
11:45 to 12:30
Po-Ling Loh Community recovery in weighted stochastic block models
SINW01 6th July 2017
13:30 to 14:15
Matti Vihola tba
SINW01 6th July 2017
14:15 to 15:00
Arnaud Doucet tba
SINW01 6th July 2017
15:30 to 16:15
Sinan Yildirim Scalable Monte Carlo inference for state-space models
SINW01 7th July 2017
09:00 to 09:45
Eric François Moulines tba
SINW01 7th July 2017
09:45 to 10:30
Peter Glynn tba
SINW01 7th July 2017
11:00 to 11:45
Jose Blanchet Exact Sampling for Multivariate Diffusions
SINW01 7th July 2017
11:45 to 12:30
Christian Robert tba
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons