Professor in Statistics
Head of The Centre for Probability, Statistics and Data Science
Bayesian modelling, Clustering, Computational statistics, Mixture models, Spatio-temporal modelling, Causal methods
Publications of specific relevance to the Centre for Probability, Statistics and Data Science
Evaluating the Cauchy Combination Test for Count DataEvaluating the Cauchy Combination Test for Count DataA Causal Analysis of the Plots of Intelligent AdversariesInequalities in overcrowding in households with children in an ethnically diverse urban population: a cross-sectional study using linked health and housing records.Bayesian Graphs of Intelligent CausationVariance Matrix Priors for Dirichlet Process Mixture Models With Gaussian KernelsQuantifying the uncertainty of partitions for infinite mixture modelsOP140 Household associations between child and adult weight status in an ethnically diverse urban population: cross-sectional study using linked primary care and National Child Measurement Programme recordsStructure induced by a multiple membership transformation on the Conditional Autoregressive modelBayesian profile regression to study the ecologic associations of correlated environmental exposures with excess mortality risk during the first year of the Covid-19 epidemic in lombardy, ItalyMapping and determinants of consumption of egg and/or flesh foods and zero vegetables or fruits among young children in SSADirichlet process mixture models for regression discontinuity designsBeyond Conjugacy for Chain Event Graph Model SelectionWho lives in overcrowded households in north-east London? Cross-sectional study of linked electronic health records and Energy Performance Certificate register data.Variance matrix priors for Dirichlet process mixture models with Gaussian kernelsSame data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesisBayesian Modelling for Spatially Misaligned Health Areal Data: A Multiple Membership ApproachLeft atrial enhancement correlates with myocardial conduction velocity in patients with persistent atrial fibrillationA spatial joint analysis of metal constituents of ambient particulate matter and mortality in England.Clustering method for censored and collinear survival dataApplied StatisticsBayesian modelling for spatially misaligned health areal data: a multiple membership approachDirichlet Process Mixture Models for Regression Discontinuity DesignsModeling tails for collinear data with outliers in the English Longitudinal Study of Ageing: Quantile profile regression.Predicting success in the worldwide start-up network.Incidence of falls among adults with cerebral palsy: a cohort study using primary care dataPerformance Comparison of Julia Distributed Implementations of Dirichlet Process Mixture ModelsAssociations between metal constituents of ambient particulate matter and mortality in England: an ecological study.Noncommunicable disease among adults with cerebral palsy: A matched cohort study.Mortality due to cardiovascular disease, respiratory disease, and cancer in adults with cerebral palsy.Incidence of osteoarthritis, osteoporosis and inflammatory musculoskeletal diseases in adults with cerebral palsy: A population-based cohort study.Predicting success in the worldwide start-up networkRisk of Depression and Anxiety in Adults With Cerebral Palsy.Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect ResultsA case study of r performance analysis and optimizationApplied StatisticsCircadian clock components control daily growth activities by modulating cytokinin levels and cell division-associated gene expression in Populus trees.Multi-pollutant Modeling Through Examination of Susceptible Subpopulations Using Profile Regression.Applied StatisticsMetabolic profiling identifies trehalose as an abundant and diurnally fluctuating metabolite in the microalga Ostreococcus tauri.THE PREVALENCE OF AGE-RELATED CHRONIC CONDITIONS IN ADULTS WITH CEREBRAL PALSY.Bayesian selection of graphical regulatory modelsModelling collinear and spatially correlated data.Modelling collinear and spatially correlated dataMulti-pollutant exposure profiles associated with term low birth weight in Los Angeles CountyA Space–Time Multivariate Bayesian Model to Analyse Road Traffic Accidents by SeverityMultidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE studyThe association of cardiometabolic functioning clusters with depressive symptoms in older adults: results from the English Longitudinal Study of AgeingModeling spatial effects of PM2.5 on term low birth weight in Los Angeles CountyAnalysing the health effects of simultaneous exposure to physical and chemical properties of airborne particlesPReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes.Blood Pressure Differences Associated With Optimal Macronutrient Intake Trial for Heart Health (OMNIHEART)–Like Diet Compared With a Typical American DietSampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementationsAbstract P403: Blood Pressure Differences Associated With OMNIHEART-like Lower Sodium Compared With Typical American Higher Sodium Nutrient Profile: INTERMAP USAA semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancerSampling from Dirichlet process mixture models with unknown concentration parameter: Mixing issues in large data implementationsPReMiuM: An R Package for Profile Regression Mixture Models using Dirichlet ProcessesSpatial Clustering of Multivariate Data Using Weighted MAX-SATData Mining for Longitudinal Data with Different TreatmentsOrchestrated transcription of biological processes in the marine picoeukaryote Ostreococcus exposed to light/dark cyclesSearching a Multivariate Partition Space Using MAX-SATEfficient utility-based clustering over high dimensional partition spacesSeparation measures and the geometry of Bayes factor selection for classificationThe Fifty-Second IEEE Holm Conference on Electrical ContactsEntropy Based Adaptive Particle FilterInequalities in household overcrowding in an ethnically diverse urban population: a cross-sectional study using linked health and housing recordsBayesian Graphs of Intelligent CausationMany analysts, one dataset: Making transparent how variations in analytical choices affect resultsMapping and determinants of consumption of egg and/or flesh foods and zero vegetables or fruits among young children in SSABeyond Conjugacy for Chain Event Graph Model SelectionGrants of specific relevance to the Centre for Probability, Statistics and Data ScienceS&E Faculty Industry PhD studentship with MidasEPSRC additional skills funding summer 2025
Cyber Attack Emulation with Mitre CalderaLGBTQ+ Mathematics DayCausal AI - TIL with WarwickIdentifying and managing causes of rare and severe complications of Paediatric Inflammatory Bowel Disease – an international prospective cohort studyPredicting disease and disease outcomes in childrenGirls in Mathematics Event - SLiveraniGenetically-Informed Envirotyping Tools to Better Match Test and Target Environments
BAE Systems Digital Intelligence
We showcase the research work of Kabiru Abubakari, a PhD student in the Centre for Probability, Statistics and Data Science, and the research work of Dr David Mguni, a lecturer in the Centre for Multimodal AI. Kabiru Abubakari Kabiru's research focuses on Bayesian spatial modelling for biodiversity. His PhD project ... [more]
The Centre for Probability, Statistics and Data Science is launching a new "Statistics and Data Science clinic" a free, walk-in statistical consulting service to all members of the broader research community within QMUL. This initiative, funded by QMUL Enhancing Research & Innovation Cultures Fund, aims to provide a range of services, ... [more]