Papers

Peer-reviewed

Panero, F., & Ishida, S. (2026). Enhancing modelling of food security through Bayesian inference. Statistics and Data Science (SDS 2026). Accepted.
Iulita, M. F., Kolachalama, V. B., Brugada-Ramentol, V., Harrison, J., Griffin, N., Sánchez Benavides, G., Vera-Campuzano, E., Minguillon, C., Alcolea, D., Mackintosh, L., Ward, L., Tort Merino, A., Balasa, M., Ishida, S., Grau Rivera, O., Suarez Calvet, M., Robertson, J., Doecke, J., Porta Mas, C., Fallone, S., Charvat, M., Tarnanas, I., Jones, M., & Streel, E. (2026). A Multimodal Digital NeuroMarker Platform with Composite and Domain-Level Validity for Detecting Mild Cognitive Impairment. eClinicalMedicine.
Ishida, S.^†, Osman, M.^†, Cui, Z., Agu, U., Becher, E., Battcock, G., Hernandez, D., Piovani, D., Knight, F., Flaxman, S., & Tang, K. (2026). Mapping Subnational Vulnerability to Inadequate Micronutrient Intake using a Bayesian Small Area Estimation Framework. Accepted for publication in International Journal of Health Geographics.. Link to manuscript

Ishida, S., Howes, A., Bradley, V., Semenova, E., Rashid, T., Dzumbunu, S., Bajaj, S., Singhal, G., Sejdinovic, D., Zvirere, H., Piovani, D., Passeri, S., Hachethethu, K., Husain, A., Kembo, G. D., Kairiza, T., & Flaxman, S. (2026). Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification. Under review. Link to manuscript
Ma, Y., Ishida, S., Cain, K., & Wallin, G. (2026). NLP-Informed Dynamic Cognitive Diagnosis Modelling. Under review. Link to manuscript
Ma, Y., Ishida, S., Cain, K., & Wallin, G. (2026). Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis. Under review. Link to manuscript
Kopp, E.^†, Ishida, S.^†, Leygonie, R., & Panero, F. (2026). Filling survey gaps in food security monitoring with spatio-temporal additive Gaussian process models. Under review. Link to manuscript
Ishida, S., Panero, F., & Bergsma, W. (2026). Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data. Link to manuscript
Yang, F., Ishida, S., Zhang, M., Jenson, D., Mishra, S., Navott, J., & Flaxman, S. (2026). Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing. Link to manuscript

^† Co-first authors.

Riha, A. E., Ishida, S., Howes, A., Flaxman, S., & Semenova, E. Bayesian optimisation and active learning using probabilistic programming.
Ishida, S., et al. Active learning sampling design: a new adaptive survey design paradigm.
Ishida, S. & Wallin, G. Latent Variable Gaussian Processes for Individualised Longitudinal Trajectories.