Dr Israel Martinez Hernandez
Lecturer in StatisticsResearch Overview
My primary research is in the area of functional data. Specifically, functional data with temporal dependence and nonstationary. These statistical methodologies are to model:
- large-scale and complex time series data, and
- spatio-temporal data.
I am highly motivated by real-world problems such as data from Environment, Energy, Health, and Engineering.
PhD Supervision Interests
I am interested in supervising the following topics: 1. Nonstationary functional time series methods 2. Methodologies for large spatio-temporal data 3. Factor models for complex spatio-temporal data 4. Methodologies for large environmental data 5. Methodologies for Point Processes
Selected Publications
Functional Time Series Analysis and Visualization Based on Records
Martinez Hernandez, I., Genton, M.G. 8/07/2024 In: Journal of Computational and Graphical Statistics. p. 1-22. 22 p.
Journal article
All Publications
STORi: DSI: Evolution of statistical earthquake models to account for measurement errors and dependence (Wanchen Yue)
01/10/2023 → 30/09/2026
Research
STOR-i Centre for Doctoral Training
- Energy Lancaster
- Environmental and Ecological Statistics
- STOR-i Centre for Doctoral Training