activity
20242026
collaborators

5 papers

stat.AP2026

Mapping Subnational Vulnerability to Inadequate Micronutrient Intake using a Bayesian Small Area Estimation Framework

Sahoko Ishida, Mohammed Osman, Ziyao Cui +8

Inadequate dietary micronutrient intake is a significant risk factor for deficiency and remains a major global health challenge. Nutrition programmes and interventions are most eff…

stat.AP2026

Social Media Data for Population Mapping: A Bayesian Approach to Address Representativeness and Privacy Challenges

Paolo Andrich, Shengjie Lai, Halim Jun +4

Accurate and timely population data are essential for disaster response and humanitarian planning, but traditional censuses often cannot capture rapid demographic changes. Social m…

stat.ME2025

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature

Adam Howes, Alex Stringer, Seth R. Flaxman +1

Naomi is a spatial evidence synthesis model used to produce district-level HIV epidemic indicators in sub-Saharan Africa. Multiple outcomes of policy interest, including HIV preval…

cs.LG2025

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)

Siyi Sun, David Antony Selby, Yunchuan Huang +3

Missing data imputation in tabular datasets remains a pivotal challenge in data science and machine learning, particularly within socioeconomic research. However, real-world socioe…

cs.LG2024

Graph Agnostic Causal Bayesian Optimisation

Sumantrak Mukherjee, Mengyan Zhang, Seth Flaxman +1

We study the problem of globally optimising a target variable of an unknown causal graph on which a sequence of soft or hard interventions can be performed. The problem of optimisi…