Organiser: Mathieu Gerber
- Ioanna Manolopoulou
Computationally efficient methods for Value of Information measures
Friday 15th November 2019, 2:00 pm – 2:45 pm
Fry Building, G.13 - Andi Wang
Regeneration-enriched Markov processes with application to Monte Carlo
Friday 15th November 2019, 3:00 pm – 3:45 pm
Fry Building, G. 13 - Jordan Franks
Friday 29th November 2019, 2:00 pm – 2:45 pm
Fry Building, G.13 - Weining Wang
Friday 31st January 2020, 2:00 pm – 2:45 pm
Fry Building, G.13
Related Seminars:
- Andi Wang
Regeneration-enriched Markov processes with application to Monte Carlo
Friday 15th November 2019, 3:00 pm – 3:45 pm
Fry Building, G. 13
Past Seminars:
- 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
