7 papers
Filling survey gaps in food security monitoring with spatio-temporal additive Gaussian process models
Emma Kopp, Sahoko Ishida, Rebecca Leygonie +1
Ensuring food security across all regions of a country requires continuous monitoring, yet household surveys often leave significant spatio-temporal gaps due to resource constraint…
Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis
Yawen Ma, Sahoko Ishida, Kate Cain +1
Digital learning environments record learners' responses to individual items, making it possible to study the development of specific skills rather than overall scores. Drawing con…
NLP-Informed Dynamic Cognitive Diagnosis Modelling
Yawen Ma, Sahoko Ishida, Kate Cain +1
Digital learning platforms are increasingly used to support reading development while generating rich log files and item-level textual content. Using these data, this study propose…
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…
Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification
Sahoko Ishida, Adam Howes, Valerie Bradley +14
Real-time, fine-grained monitoring of food security is essential for enabling timely and targeted interventions, thereby supporting the global goal of achieving zero hunger - a key…
Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing
Fan Yang, Sahoko Ishida, Mengyan Zhang +4
Remote sensing imagery offers rich spectral data across extensive areas for Earth observation. Many attempts have been made to leverage these data with transfer learning to develop…
Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data
Sahoko Ishida, Francesca Panero, Wicher Bergsma
Additive Gaussian process (GP) models offer flexible tools for modelling complex non-linear relationships and interaction effects among covariates. While most studies have focused…