معرفی
Nathan Judd is a Research Fellow in Statistics at the School of Mathematics, University of Birmingham. His research focuses on Bayesian non-parametric methods applied to modern slavery data and stochastic process modeling. He earned his PhD in Statistics from the University of Warwick (2024), MSc in Statistics from Lancaster University (2019), and BSc in Mathematics from the University of Kent (2018).
- Education:
- PhD in Statistics, University of Warwick (2024)
- MSc in Statistics, Lancaster University (2019)
- BSc in Mathematics, University of Kent (2018)
Research themes include:
- Construction of non-diffusive Wright-Fisher processes
- Bayesian non-parametric models for crime-linkage analysis
- Testing methodologies for jumps in discretely observed stochastic processes
- Application of statistical models to socio-political challenges
Recent publications demonstrate expertise in predictive modeling during disruptions, including the 2025 paper on zero-inflated mixed effects models for foodservice sales forecasting.
Contact: n.a.judd@bham.ac.uk
۰مقاله منتشرشده
