Statistics Seminars

Organiser: Song Liu

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Past Seminars:

  • Ross Booton, Katy Turner, Daniel Lawson
    Towards a statistical framework for epidemic trajectory modelling? South West England as a case study
    Friday 19th June 2020

  • Vassil Alexandrov
    Advanced Monte Carlo Methods for Linear Algebra on Advanced Computer Architectures
    Friday 22nd May 2020

  • Chris Oates
    Stein's Method in Computational Statistics
    Friday 24th April 2020

  • [Cancelled] Arthur Gretton
    Friday 27th March 2020

  • Oliver Johnson
    A proof of the Shepp--Olkin entropy monotonicity conjecture
    Friday 27th March 2020

  • Jia Chen
    [CANCELLED] Estimation and Inference in Heterogeneous Spatial Panel Data Models with a Multifactor Error Structure
    Friday 13th March 2020

  • Christian Robert
    ABC-Gibbs: componentwise approximate Bayesian computation
    Friday 28th February 2020

  • Marcelo Pereyra
    On convexity, regularisation, and Bayesian estimation in imaging inverse problems
    Friday 28th February 2020

  • Tony Lelievre
    Hybrid Monte Carlo methods for sampling probability measures on submanifolds
    Friday 14th February 2020

  • Sam Tickle
    Analysing global terrorism incidence using a new high-dimensional changepoint detection method
    Friday 14th February 2020

  • Jordan Franks
    Unbiased inference for discretely observed hidden Markov model diffusions
    Friday 31st January 2020

  • Weining Wang
    Inference of breakpoints in high-dimensional time series
    Friday 31st January 2020

  • Suhasini Subba Rao
    Reconciling the Gaussian and Whittle Likelihood with anapplication to estimation in the frequency domain
    Thursday 9th January 2020

  • Joshua Cape
    Networks, matrices, and geometry: the generalized random dot product graph model
    Thursday 19th December 2019

  • Andi Wang
    Regeneration-enriched Markov processes with application to Monte Carlo
    Friday 15th November 2019

  • Ioanna Manolopoulou
    Computationally efficient methods for Value of Information measures
    Friday 15th November 2019

  • Alexander Buchholz
    Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo
    Friday 1st November 2019

  • Jonathan Huggins
    Using bagged posteriors for robust inference and model criticism
    Wednesday 23rd October 2019

  • Francois-Xavier Briol
    Statistical Inference for Generative Models with Maximum Mean Discrepancy
    Friday 18th October 2019

  • Lorenzo Rimella
    Exploiting locality in high-dimensional factorial hidden Markov models
    Friday 18th October 2019

  • Josua Gösmann
    Sequential change point detection
    Friday 4th October 2019

  • Yunxiao Chen
    A Latent Factor Model with a Nonnegative Component with Application to Cheating Detection in Educational Testing
    Friday 3rd May 2019

  • Alexey Onatskiy
    Spurious factor analysis
    Friday 3rd May 2019

  • Matt Nunes
    Complex-valued wavelet lifting transforms for signal processing
    Friday 29th March 2019

  • Daniel Paulin
    Connections between optimization and sampling
    Friday 29th March 2019

  • Konstantinos Fokianos
    Testing independence for multivariate time series via the auto-distance correlation matrix
    Friday 15th March 2019

  • Patrick Rebeschini
    On the Interplay between Statistics, Computation and Communication in Decentralised Learning
    Friday 15th March 2019

  • Richard Samworth
    Classification with imperfect training labels
    Friday 1st March 2019

  • Alexandra Carpentier
    Sparsity testing in the linear regression model
    Friday 1st March 2019

  • Sandipan Roy
    Network Heterogeneity and Strength of Connections
    Friday 15th February 2019

  • Rachael Hughes
    Selection bias when estimating average treatment effects using one-sample instrumental variable analysis
    Friday 15th February 2019

  • Simon Wood
    Smooth regression modelling
    Friday 1st February 2019

  • Rajen Shah
    Low-priced lunch in conditional independence testing
    Friday 30th November 2018

  • Michael Fop
    The Infinite Latent Position Cluster Model for Multivariate Networks
    Friday 30th November 2018

  • Tiangang Cui
    Optimization-based Sampling Approaches for Bayesian Inference
    Friday 23rd November 2018

  • Nicolas Chopin
    Noise contrastive estimation: asymptotics, comparison with MC-MLE
    Friday 23rd November 2018

  • Ioannis Kontoyiannis
    Identifying Temporal Structure in Discrete Time Series
    Friday 16th November 2018

  • Heather Battey
    Large numbers of explanatory variables
    Friday 16th November 2018

  • Kody Law
    Bayesian Static Parameter Estimation for Partially Observed Diffusions using Multilevel Monte Carlo
    Friday 19th October 2018

  • Catalina Vallejos
    Robust differential variability testing for single-cell RNA sequencing data
    Friday 19th October 2018

  • George Deligiannidis
    Friday 5th October 2018

  • Tobias Kley
    Model assessment for time series dynamics using copula spectral densities: a graphical tool
    Friday 5th October 2018

  • Matthew Dixon
    Takeuchi’s Information Criteria as a form of Regularization
    Friday 25th May 2018

  • Daniel Farewell
    Missing at random: a stochastic process perspective
    Friday 4th May 2018

  • Murray Pollock
    Monte Carlo Fusion: Unifying Distributed Analyses
    Friday 4th May 2018

  • Matteo Fasiolo
    Fast calibrated additive quantile regression
    Friday 20th April 2018

  • Sara Geneletti
    Identifying values for missing crime severity using constraints
    Friday 20th April 2018

  • Marco Banterle
    Bayesian inference on high-dimensional Seemingly Unrelated Regression, applied to metabolomics data
    Friday 23rd March 2018

  • Eike Mueller
    Multilevel Monte Carlo Methods in Atmospheric Dispersion Modelling
    Friday 23rd March 2018

  • Alexander Shestopaloff
    Sampling Latent States for High-Dimensional Non-Linear State Space Models with the Embedded HMM Method
    Friday 9th March 2018

  • Varun Jog
    Teaching and learning in uncertainty
    Friday 2nd March 2018

  • Zhe Sha
    Bayesian Hierarchical modelling of large scale geo-spatial processes
    Friday 26th January 2018

  • Daniel Williamson
    What if we’re looking in the wrong directions? Optimal calibration of computer models with spatio-temporal output
    Friday 26th January 2018

  • Richard Morey
    The fallacy of placing confidence in confidence intervals
    Friday 8th December 2017

  • Randal Douc
    Posterior consistency for partially observed Markov models
    Friday 8th December 2017

  • Ilaria Prosdocimi
    The use of historical data to estimate the frequency of rare events: some practical challenges
    Friday 24th November 2017

  • Remi Bardenet
    Monte Carlo with determinantal point processes
    Friday 24th November 2017

  • Koko Kayibi
    Sampling Contingency Tables
    Friday 10th November 2017

  • Sarah Heaps
    Identifying the effect of public holidays on daily demand for gas
    Friday 10th November 2017

  • Jere Koskela
    Scaling limits of sequential Monte Carlo genealogies
    Friday 27th October 2017

  • Sergio Bacallado
    Unbiased estimation and prediction in the hierarchical two-parameter Poisson-Dirichlet process
    Friday 27th October 2017

  • Benjamin Bloem-Reddy
    Preferential attachment, vertex arrival times, and probabilistic symmetries in random graphs
    Friday 13th October 2017

  • Theresa Smith
    Age-period-cohort models for cancer incidence and mortality
    Friday 13th October 2017

  • Clara Grazian
    A Flexible Bayesian Model for Clustering Seasonal Time Series With Linear and Circular Components
    Friday 29th September 2017

  • Kari Heine
    Parallelising particle filters with butterfly interactions
    Friday 29th September 2017

  • Alexandre Bouchard-Côté
    Monte Carlo without rejection
    Friday 28th April 2017