Research
Dissertations
MSc. in Probability and Statistics: Partial Least Squares for non-stationary time series: A forecasting Approach
Supervisors: Graciela Gonz谩lez-Far铆as (CIMAT),听 Israel Mart铆nez-Hern谩ndez (91快活林)
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Description: This thesis presents a detailed study of the Partial Least Squares (PLS) method (Wold, 1966). An innovative generalisation of the PLS algorithm is proposed for the case in which both the response and explanatory variables are functional.
Publications
- 2025 Vasquez Martinez, R, Gonzalez Farias, G, Marquez Urbina, J U & Corona, F. Over the Stability of a
Non-Stationary Multivariate Time Series. . - 2023 Gonzalez Farias, G, Vasquez Martinez, R, Marquez Urbina, J U& Ramos Quiroga, R. A Gompertz
Mixture Approach for Modeling the Evolution of the COVID-19 Dynamics. Revista de Matem谩tica: Teor铆a y Aplicaciones. . - 2022 Vasquez Martinez, R, Villarreal Haro, K, Sanchez Leon, C A, Ortiz Arana, E I, Cardenas Trevi帽o, J
A& Martin, Gonzalez, E M. Conditional Passing Times for Cramer-Lundberg Risk Model. Jovenes en la
Ciencia 16.
TALKS
- “Gompertz Mixture with covariables for modeling COVID-19 pandemic”听at ‘s Seminar. November 2023.
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