Carrizo Vergara, R. (2026). Karhunen–Loève expansion of random measures. ESAIM: Probability and Statistics, 30, 49-76. https://doi.org/10.1051/ps/2025017
Carrizo Vergara, R. (2025). Generalized stochastic processes: Linear relations to white noise and orthogonal representations. Communications in Mathematics and Statistics, 1-24. https://doi.org/10.1007/s40304-025-00461-6
Carrizo Vergara, R., Allard, D., & Desassis, N. (2022). A general framework for SPDE-based stationary random fields. Bernoulli, 28(1), 1-32. https://doi.org/10.3150/20-BEJ1317
Carrizo Vergara, R., Kéry, M., & Hefley, T. (2025). The evolving categories multinomial distribution: introduction with applications to movement ecology and vote transfer. arXiv preprint arXiv:2505.20151.
Carrizo Vergara, R., Kéry, M., & Hefley, T. (2024). Movement-based models for abundance data. arXiv preprint arXiv:2407.13384.
Carrizo Vergara, R. (2023). Function-measure kernels, self-integrability and uniquely-defined stochastic integrals. arXiv preprint arXiv:2303.04282.
Carrizo Vergara, R. (2022). Necessary and sufficient conditions for a family of continuous functions to form a Karhunen-Lo\eve basis (Note). arXiv preprint arXiv:2208.14779.
Carrizo Vergara, R. (2019). First-order linear evolution equations with càdlàg-in-time solutions. arXiv preprint arXiv:1906.04145.
Carrizo Vergara, R. (2018). Development of geostatistical models using stochastic partial differential equations (Doctoral dissertation, Mines ParisTech-PSL University). Available in HAL.
The modelling of counts of continuously moving individuals: a space-time geostatistical mindset for movement ecology. Les Journées de la Géostatistique, Fontainebleau, France. September 2025. Available here.
A Capture model for moving individuals. International workshop: Modelling and Applications of Anomalous Diffusions. Isaac Newton Institute for mathematical sciences (INI). Cambridge, England, United Kingdom. September 2024. Available in YouTube.
Movement-based models for abundance data. International Statistical Ecology Conference (ISEC 2024). Swansea, Wales, United Kingdom. July 2024.
Movement-based models for abundance data: inducing auto-correlation through individual following. Centennial of the Swiss Ornithological Institute. Sempach, Switzerland. June 2024.
Function-measure kernels, self-integrability and uniquely-defined stochastic integrals. German Probability and Statistics Days - GPSD 2023. Essen, Germany. March 2023.
Karhunen-Loève expansion of random measures. German Probability and Statistics Days - GPSD 2023. Essen, Germany. March 2023.
First order linear evolution SPDEs with symbol-defined operators and general source terms. SPDEvent 2022. Bielefeld, Germany. Septembre 2022.
The SPDE approach in Geostatistics: review and theoretical advances. International workshop: statistical inference for stochastic PDEs. Berlin, Germany. September 2019.
On simulations of SPDE-based stationary random fields. International RESSTE workshop: INLA/SPDE. Avignon, France. November 2018.
Spatio-temporal geostatistical models associated to evolution SPDEs. METMA IX: international workshop on spatio-temporal modelling. Montpellier, France. June 2018.
Modèles géostatistiques reliés à des équations aux dérivées partielles stochastiques. Les journées de la Géostatistique. Fontainebleau, France. September 2017.
Development of geostatistical models using stochastic partial differential equations. Spatial Statistics 2017: One World, One Health. Lancaster, UK. July 2017.