Publications
Working Papers
- Dimitrova, D. S., Kaishev, V. K., & Sáenz Guillén, E. L. (2025a). GeDS: An R package for regression, generalized additive models and functional gradient boosting, based on geometrically designed (ged) splines [Manuscript submitted for publication]. Under review in the Journal of Statistical Software.
Work in Progress
Density and distribution function estimation using variable-knot splines, joint project with Prof. Vladimir Kaishev and Dr. Dimitrina Dimitrova. A corresponding R package is publicly available at: DDFS.
On the joint distribution of (perceived) income and standard of living, and its effect on inequality and new product diffusion, joint project with Prof. Vladimir Kaishev, Prof. Anirban Mukhopadhyay and Dr. Jingshi Liu. A corresponding survey study was implemented through Prolific and ShinyApps.
Bariatric Data Analytics Based on the UK National Bariatric Surgery Registry (NBSR), joint project with Prof. Vladimir Kaishev, Dr. Dimitrina Dimitrova, and external collaborators, Miss Emma Rose McGlone from Imperial College London and Mr Omar Khan from the British Obesity & Metabolic Specialist Society (BOMSS).
Acknowledged Collaborations
- Montes-Rojas, G., & Elosegui, P. (2020). Network ANOVA random effects models for node attributes. Journal of Dynamics and Games, 7(3), 239–252. https://doi.org/10.3934/jdg.2020017
Software
Dimitrova, D. S., Kaishev, V. K., Lattuada, A., Sáenz Guillén, E. L., & Verrall, R. J. (2025). GeDS: Geometrically designed spline regression [R package version 0.3.4]. https://CRAN.R-project.org/package=GeDS
Dimitrova, D. S., Kaishev, V. K., & Sáenz Guillén, E. L. (2025b). DDFS: Density & distribution function estimation using variable-knot splines [R package version 0.1.0]. https://github.com/emilioluissaenzguillen/ddfs