3 papers
stat.ME2026
Doubly robust integration of nonprobability and probability survey data
Shaun R Seaman, Tommy Nyberg, Anne M Presanis
Doubly robust estimators for estimating the population mean (or prevalence) of an outcome have been proposed for integrating outcome and covariate data from a nonprobability sample…
stat.ME2025
Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
Fuming Yang, David J. Nott, Anne M. Presanis
Evidence synthesis models combine multiple data sources to estimate latent quantities of interest, enabling reliable inference on parameters that are difficult to measure directly.…
stat.CO2024
The Lifebelt Particle Filter for robust estimation from low-valued count data
Alice Corbella, Trevelyan J. McKinley, Paul J. Birrell +4
Particle filtering methods can be applied to estimation problems in discrete spaces on bounded domains, to sample from and marginalise over unknown hidden states. As in continuous…