*Organiser*: Henry Reeve

- Juliette Unwin

Infectious disease modelling for policy response

Monday 3rd October 2022, 1:00 pm – 2:00 pm

Fry Building, 2.04 - Timothy Waite

Minimax efficient random experimental design strategies with application to model-robust design for prediction

Friday 14th October 2022, 2:00 pm – 3:00 pm

Fry Building, TBA - Fang Wan

Confidence sets for a level set in linear regression

Friday 28th October 2022, 1:30 pm – 2:30 pm

TBA, TBA - Cong Ma

Friday 11th November 2022, 1:30 pm – 2:30 pm

TBA, TBA - Jun Yang

Friday 18th November 2022, 2:00 pm – 3:00 pm

Fry Building, TBA - Jake Soloff

Friday 25th November 2022, 1:30 pm – 2:30 pm

TBA, TBA

### Past Seminars:

- Rajen Shah

The Projected Covariance Measure for assumption-lean variable significance testing

Friday 30th September 2022 - Nick Whiteley

On the Statistical Origin of Manifold Structure in Data

Monday 13th June 2022 - Joshua Loftus

Counterfactual fairness

Friday 10th June 2022 - Neil Lawrence

Deep Gaussian Processes: A Motivation and Introduction

Monday 6th June 2022 - Philip Thompson

On the least-squares problem with outliers, matrix decomposition and related concentration inequalities

Friday 27th May 2022 - Richard Samworth

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility

Friday 27th May 2022 - Alessandra Luati

Semiparametric modeling of multiple quantiles

Friday 20th May 2022 - Ioanna Manolopoulou

Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation

Friday 20th May 2022 - Rihuan Ke

From multi-tasking to nonlinear modelling: label-efficient learning algorithms for image analysis

Friday 6th May 2022 - Song Liu

The f -divergence and Loss Functions in ROC Curve

Friday 6th May 2022 - Byol Kim

Black-box tests for algorithmic stability

Friday 1st April 2022 - Umberto Picchini

Bayesian inference for mixed-effects models driven by SDEs and other stochastic models: a scalable approach.

Friday 1st April 2022 - Qian Qin

Analysis of two-component Gibbs samplers using the theory of two projections

Friday 18th March 2022 - Robert Lunde

Modern Statistical Tools for Network Data: From Resampling to Conformal Prediction

Friday 18th March 2022 - Lucy Gao

Valid Inference After Hierarchical Clustering

Friday 4th March 2022 - Louis Sharrock

Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation

Friday 4th March 2022 - Randal Douc

Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm

Friday 18th February 2022 - Arun Kumar Kuchibhotla

Median bias, HulC, and valid inference

Friday 18th February 2022 - Ruth Heller

Optimal multiple testing and design in clinical trials

Friday 4th February 2022 - Lionel Riou-Durand

Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte-Carlo

Friday 4th February 2022 - Yoav Zemel

Stochastic approximations for discrete optimal transport

Friday 21st January 2022 - Anusha Lalitha

Decentralized Cooperative Multi-armed Bandits

Friday 10th December 2021 - Kin Wai Chan

General and Feasible Multiple Imputation Tests

Friday 10th December 2021 - Takafumi Kanamori

Variable Selection for Nonparametric Learning with Power Series Kernels

Friday 26th November 2021 - Umut Simsekli

Towards Building a Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks

Friday 12th November 2021 - Cecilia Viscardi

A large deviation approach to approximate Bayesian computation

Friday 12th November 2021 - Badr-Eddine Chérief-Abdellatif

A Theoretical Study of Variational Inference

Friday 29th October 2021 - Andrew Jones

[CANCELLED] Visualizing dynamic networks through unfolded adjacency spectral embedding

Friday 29th October 2021 - Matteo Fasiolo

Additive stacking for ensemble electricity demand forecasting

Friday 29th October 2021 - Tengyao Wang

High-dimensional changepoint estimation with heterogeneous missingness

Friday 15th October 2021 - Michael Gutmann

Statistical applications of contrastive learning

Friday 15th October 2021 - Kamélia Daudel

Monotonic Alpha-divergence Variational Inference

Friday 1st October 2021 - Dennis Prangle

Distilling importance sampling for likelihood-free inference

Friday 1st October 2021 - Anqi Liu

Towards Trustworthy AI: Provably Robust Extrapolation for Decision Making

Friday 18th June 2021 - Benjamin Bloem-Reddy

Invariance in machine learning methods: What, why, and then?

Friday 14th May 2021 - Hyeyoung Maeng

High-dimensional trend segmentation

Friday 14th May 2021 - Giacomo Zanella

Scalable computation for Bayesian hierarchical models

Friday 7th May 2021 - JM Sanz-Serna

Friday 26th March 2021 - Min Xu

High-dimensional nonparametric density estimation via symmetry and shape constraints

Friday 12th March 2021 - Sam Hopkins

Proofs to Algorithms in High-Dimensional Statistics (an introduction, with applications to Gaussian Mixture Models)

Friday 12th March 2021 - Laurence Aitchison

A unified statistical theory of semi-supervised learning, out-of-distribution detection and the cold posterior effect.

Friday 26th February 2021 - Kengo Kamatani

Non-reversible guided Metropolis kernel

Friday 26th February 2021 - Wenguang Sun

A Locally Adaptive Weighting and Screening Approach To Spatial Multiple Testing

Friday 12th February 2021 - Taiji Suzuki

Benefit of deep learning: Statistical efficiency and optimization guarantee with non-convex noisy gradient descent

Friday 12th February 2021 - Vladimir Vovk

Conformal prediction and testing

Friday 18th December 2020 - Toru Kitagawa

Constrained classification and policy learning

Friday 18th December 2020 - Gintare Karolina Dziugaite

In Defence of Uniform Convergence: explaining generalization for interpolating predictors

Friday 4th December 2020 - Sidharth Jaggi

Communication in the presence of adversarial jamming: The curious case of the erasure channel

Friday 20th November 2020 - Malgorzata Bogdan

Recent developments on Sorted L-One Penalized Estimation.

Friday 20th November 2020 - Euan McGonigle

(*TIME CHANGED) Modelling and estimation of nonstationary time series via wavelets and differencing

Friday 6th November 2020 - Arthur Gretton

(*TIME CHANGED) Generalized Energy-Based Models

Friday 6th November 2020 - Mladen Kolar

Statistical inference for high-dimensional differential networks

Friday 23rd October 2020 - Veronika Rockova

UNCERTAINTY QUANTIFICATION FOR BAYESIAN CART

Friday 23rd October 2020 - Sam Power

Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Jump Processes

Friday 9th October 2020 - 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