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Seminar Archive

E.g., 2018-06-24
E.g., 2018-06-24
Event Code Date Speaker Seminar Title Presentation Material
TGMW58 2nd May 2018 Anis Theljani Multimodality Image Registration
TGMW58 2nd May 2018 Introduction
TGMW58 2nd May 2018 Carola-Bibiane Schönlieb, Ke Chen Welcome and Introduction
STS 1st May 2018 Dino Sejdinovic Approximate kernel embeddings of distributions
STS 26th April 2018 Jacob Bien High-dimensional variable selection when features are sparse
STS 24th April 2018 Ian McKeague Causal trees and Wigner's semicircle law
UNQW04 13th April 2018 Serge Guillas Computer model calibration with large nonstationary spatial outputs: application to the calibration of a climate model
UNQW04 13th April 2018 Luc Pronzato Bayesian quadrature, energy minimization and kernel herding for space filling design
UNQW04 12th April 2018 Matthew Pratola A Comparison of Approximate Bayesian Computation and Stochastic Calibration for Spatio-Temporal Models of High-Frequency Rainfall Patterns
UNQW04 12th April 2018 Ian Vernon Multilevel Emulation and History Matching of EAGLE: an expensive hydrodynamical Galaxy formation simulation.
UNQW04 12th April 2018 Derek Bingham Bayesian model calibration for generalized linear models: An application in radiation transport
UNQW04 12th April 2018 Aretha Teckentrup Deep Gaussian Process Priors for Bayesian Inverse Problems
UNQW04 12th April 2018 Nicholas Dexter Joint-sparse recovery for high-dimensional parametric PDEs
STS 12th April 2018 Georg Hahn Recent advances in quantum annealing and outlook on its potential in statistics
UNQW04 12th April 2018 Masoumeh Dashti Modes of posterior measure for Bayesian inverse problems with a class of non-Gaussian priors
UNQW04 12th April 2018 Jeremy Oakley Bayesian calibration, history matching and model discrepancy
UNQW04 11th April 2018 Daniel Williamson Parameter inference, model error and the goals of calibration
UNQW04 11th April 2018 David Ginsbourger Quantifying and reducing uncertainties on sets under Gaussian Process priors
UNQW04 11th April 2018 Peter Challenor Experimental Design for Inverse Modelling: From Real to Virtual and Back
UNQW04 11th April 2018 Angela Dean Experimental Design for Prediction of Physical System Means Using Calibrated Computer Simulators
UNQW04 10th April 2018 Tim Sullivan Bayesian probabilistic numerical methods
UNQW04 10th April 2018 Andrew Stuart Large Graph Limits of Learning Algorithms
UNQW04 10th April 2018 Michael Goldstein Inverting the Pareto Boundary: Bayes linear decision support with a soft constraint
STS 10th April 2018 Heather Battey Large numbers of explanatory variables
UNQW04 10th April 2018 Hugo Maruri-Aguilar Smooth metamodels
UNQW04 10th April 2018 Claudia Schillings On the Convergence of Laplace's Approximation and Its Implications for Bayesian Computation
UNQW04 10th April 2018 Youssef Marzouk Optimal Bayesian experimental design: focused objectives and observation selection strategies
UNQW04 9th April 2018 Robert Scheichl Low-rank tensor approximation for sampling high dimensional distributions
UNQW04 9th April 2018 Richard Nickl Statistical guarantees for Bayesian uncertainty quantification in inverse problems
UNQW04 9th April 2018 Christoph Schwab Deterministic Multilevel Methods for Forward and Inverse UQ in PDEs
UNQW04 9th April 2018 Paul Constantine Subspace-based dimension reduction for forward and inverse uncertainty quantification
UNQW04 9th April 2018 Ilya Mandel Studying black holes with gravitational waves: Why GW astronomy needs you!
UNQ 5th April 2018 Andrew Stuart Rothschild Lecture: The Legacy of Rudolph Kalman
STS 5th April 2018 Tobias Kley Sequential detection of structural changes in irregularly observed data
UNQ 5th April 2018 Ines Cecilio UQ methodologies in Schlumberger's technology development for Drilling Automation
STS 3rd April 2018 Jon August Wellner Inference for the mode of a log-concave density: a likelihood ratio test and confidence intervals
STS 29th March 2018 Steffen Grunewalder Compressed Empirical Measures
STS 27th March 2018 Adam Sykulski Spatiotemporal modelling and parameter estimation of anisotropic particle trajectories
STSW02 23rd March 2018 Piotr Fryzlewicz Multiscale methods and recursion in data science
STSW02 23rd March 2018 Miguel del alamo Multiscale Bounded Variation Regularization
STSW02 23rd March 2018 Sara Anna van de Geer A concentration interval for the Lasso
STSW02 22nd March 2018 Eardi Lila Statistical Analysis of Functions on Surfaces, with an application to Medical Imaging
STSW02 22nd March 2018 Debashis Paul Spectral estimation for a class of high-dimensional linear processes
STSW02 22nd March 2018 Regina Liu Fusion and Individualized Fusion Learning from Diverse Data Sources by Confidence Distribution
STSW02 22nd March 2018 Alexander Aue Limiting spectral distributions for a class of high-dimensional time series
STSW02 22nd March 2018 Hao Chen New two-sample tests based on adjacency
STSW02 22nd March 2018 Jingjing Zou Mixed Effects Model on Functional Manifolds / Sampling Directed Networks
STSW02 21st March 2018 Johannes Schmidt-hieber Statistical theory for deep neural networks with ReLU activation function
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons