Presentations

Abdullah Al Mugharrid - Flex Lasso: A Scalable Regularization Framework for High-Dimensional and Correlated Data

Shrog Albalawi - Assessing variable influence on change points in sparse high-dimensional data

Cecina Babich Morrow - From risk to action: Analysing climate adaptation decision robustness under uncertainty

Iain Bell - Modelling Multiple Heavy Metal Pollutants in River Water Quality Data

Robert Cantwell - Object selection for multi-object regression

Aaron Coats - Feature Selection through Divide-and-Conquer MCMC Strategies

Lewis Ellaway - Two - Sample Randomisation Testing with the Earth Mover's Distance

Antia Enriquez Yurrebaso - Modeling dependence and robustness in multivariate Network Scale-Up Method estimators

Sergio Estan - Network selection in multivariate time series models

Aindrila Garai - Doubly Adaptive Forecasting Methods

Charles Hall - Convex Hulls of Random Processes

Dan Harborne - Quasi-steady State Approximation for a Two-strain Epidemic Model

Jack Hodgkinson - MultiCOCA: identifying multiple clustering structures in high-dimensional data

Timothy Kang - A Johnson-Lindenstrauss-type result for truncated signatures

Moses Kargbo - Modelling and Stochastic Simulaion of Supply Chains

Ryan Kirkpatrick - Investigating the utility and fidelity of synthetically generated educational data

Callum Macaulay - Deep Gaussian Processes and Spline-Based Methods for Simulating Multidimensional Surfaces

Paul Mansanarez - Edgeworth expansion on Wiener chaos

Eilidh McMurdo - Statistical modelling of child growth faltering

Yanis Meziani - Asymptotic behaviour of absorption time of the Moran process with population-size-dependent fitnesses

Ibrahim Mohammed - On the simultaneous inference of susceptibility distributions and intervention effects from epidemic curves

Bao Khanh Nguyen - Bayesian image segmentation of remote sensing images

Evan Tate Paterson Hughes - Efficient and Stable Computations of the Kalman Filter

Jost Pieper - Rough SDEs and robust Filtering

Ferdinand Rapin - High order derivatives of Stein's solution and the Integrated Pearson family

Megan Ruffle - Benchmarking Probabilistic Programming Languages: Stan vs. NumPyro in Infectious Disease Modelling

Erin Russell - Lumpable Couplings and Couplable Lumpings

Juliet Asantewaa Sarpong - Collaborative Targeted Learning for High-Dimensional Causal Inference

Tao Shen - Adaptive Probabilistic Forecasting for Wind Energy Based on Generalised Logit Transformation and Bayesian Method

Claire Singleton - The challenges associated with using electronic health records data in models predicting the risk of adverse outcomes in pregnancies complicated with pre-eclampsia

Adam Stone - Are Tree based methods a thing of the past?

Ziqian Sun - Modelling Frailty with Bayesian Model Averaging (BMA)

Ngozika Ugwunze - Distributional Forecasting of U.S. Stock Market with Generalised Additive Models for Location, Scale and Shape

Corey Voller - Leveraging Posterior Uncertainty of Treatment Effects in Bayesian Response-Adaptive Group Sequential Designs

Iain Webb - Is low response-surface alignment responsible for poor uncertainty reduction in climate models when using observations?

Zhanli Wu - Conformalized Regression for Bounded Outcomes

Xutian Yao - Structural breaks detection for asymptotically independent extremes

Qianruo Zhang - Speeding up disease mapping: a computationally efficient spatio-temporal model for big data

Rundong Zhou - An Adaptive Regrouping Subsampling Method for Linear Mixed Models

Qiangqiang Zhu - Quantifying the effects of air pollution on respiratory ill health treated in primary care when the locations of the populations at risk are partially unknown

Alexandra Zverovich - Rescaling and unconstrained minimisation of convex quadratic maps

Abdullah Al Mugharrid - Flex Lasso: Flexible Optimization for Regularized Regression in Multicollinear Settings

Jack Baird - Statistical and AI NLP for data integration to investigate public perception of active travel in Glasgow

Feargus Ball - Understanding How iFFBS Can Be Applied to Household Epidemic Data

Louise Blackman - Spatial Population Dynamics models using the INLA-SPDE approach

Farah Chalabi - Predictive Modelling for Critical Care in Intensive Care Units

Sara Euzzor - A constrained Bayesian multivariate model for predicting polluting fuel use for household lighting

Charles Hall - Convex Hulls of Random Processes

Yusuf Ibrahim - Modelling Seasonal Influenza Waning Immunity from Time Since Vaccination in Scotland

Lewen Jiang - Gradient Estimators for the Extreme Value Index in Risk Assessment

Timothy Kang - Signature Dimension Reduction

Moses Kargbo - Modelling Stochastic Simulation on Supply Chain

Kenneth Martin - Simulation of anisotropic 2D random fields 

Yanis Meziani - Asymptotic behaviour of absorption time of the Moran process with population-size-dependent fitnesses

Bao Khanh Nguyen - Bayesian image segmentation of remote sensing images

Charlotte Norridge - Hierarchical Modelling for the Bradley Terry Model with Applications in Violence Against Women and Girls

Jeffrey Pullin - Flexible and efficient eQTL mapping with quasar

Megan Ruffle - Benchmarking Probabilistic Programming Languages: Stan vs. NumPyro in Infectious Disease Modelling

Erin Russell - Lumpings and Markovian Couplings

Juliet Asantewaa Sarpong - Collaborative Targeted Learning for High-Dimensional Causal Inference

Meyvizhi Sasibala Senthil Raja - Disease Risk Mapping in the Presence of Risk Discontinuities

Tao Shen - Adaptive Probabilistic Forecasting for Wind Energy Based on Generalised Logit Transformation and Bayesian Method

Adam Stone - AddiVortes: (Bayesian) Additive Voronoi Tessellations.

Pramudya Tilakaratne - Predicting Urban Air Pollution in Plymouth UK Using Sentinel 5p Satellite, Google Earth Engine (GEE) and Ground Sensor Data

Yi Xu - Method for scenery Reconstruction 

Rundong Zhou - An Adaptive Regrouping Subsampling Method for Linear Mixed Models