Dr Israel Martinez Hernandez
Lecturer in StatisticsWeb Links
Personal web page: https://i-mh.github.io
Research 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
Modelling particle number size distribution: a continuous approach
Martínez-Hernández, I., Euán, C., Burr, W.S., Meis, M., Blangiardo, M., Pirani, M. 14/10/2024 In: Journal of the Royal Statistical Society: Series C (Applied Statistics).
Journal article
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
Changepoint Detection on Daily Home Activity Pattern: A Sliced Poisson Process Method
Martinez Hernandez, I., Killick, R. 31/12/2024 In: Biometrics. 80, 4
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
- Centre of Excellence in Environmental Data Science
- Changepoints and Time Series
- Energy Lancaster
- Environmental and Ecological Statistics
- STOR-i Centre for Doctoral Training