The individual holds a Licenciado degree in Mathematical Sciences from Almería, followed by a doctorate in Mathematics with a focus on Statistics and Applied Mathematics from the University of Almería. They also completed a postgraduate certificate in Advanced Studies in Mathematics from the same institution. Their expertise lies in areas such as optimization algorithms, neural networks, support vector machines, and statistical methods. They have been actively involved in academic research and have contributed to various projects funded by both public and private entities.
Author Metrics
The author has demonstrated a high level of academic productivity and impact, as evidenced by metrics such as publication count, citation count, h-index, and possibly others depending on available data. Their research output reflects a significant contribution to the field of Mathematics and related disciplines.
ORCID Profile
Education
The individual received their Licenciado degree in Mathematical Sciences from Almería in 2000, followed by a doctorate in Mathematics with a focus on Statistics and Applied Mathematics from the University of Almería in 2003. They also completed a postgraduate certificate in Advanced Studies in Mathematics from the University of Almería in 2002.
Research Focus
The individual’s research interests encompass various areas within Mathematics, including optimization algorithms, neural networks, support vector machines, statistical methods, and their applications in fields such as marketing and consumer behavior analysis. They have also explored topics related to inequality and poverty measurement.
Professional Journey
After completing their education, the individual embarked on a professional journey that has seen them actively engaged in academic research and teaching. They have directed doctoral theses and projects, contributed to research projects funded by public and private entities, and held positions as a researcher and possibly as a faculty member at academic institutions.
Honors & Awards
The individual has been recognized for their outstanding academic achievements and contributions to research. They may have received honors such as Cum Laude distinctions for their doctoral theses or awards from academic or professional organizations in recognition of their work.
Publications Noted & Contributions
The individual has made notable contributions to the academic literature, with publications in peer-reviewed journals and possibly contributions to conference proceedings, book chapters, or other scholarly works. Their research output reflects their expertise in Mathematics and related fields, with a focus on topics such as optimization algorithms, statistical methods, and consumer behavior analysis.
Calibration Estimation of Distribution Function Based on Multidimensional Scaling of Auxiliary Information
- Published in the Journal of Computational and Applied Mathematics in 2024.
- Contributors: Sergio Martínez, María D. Illescas, María del Mar Rueda.
- This article likely discusses a methodology for estimating distribution functions using multidimensional scaling techniques applied to auxiliary information.
Dynamics of Agglomeration and Competition in the Hotel Industry: A Geographically Weighted Regression Analysis Based on an Analytical Hierarchy Process and Geographic Information Systems (GIS) Data
- Published in Oeconomia Copernicana in 2023.
- Contributors: María D. Illescas-Manzano, Sergio Martinez-Puertas, Gema M. Marin-Carrillo, Maria B. Marin-Carrillo.
- This article appears to analyze agglomeration and competition dynamics in the hotel industry using geographically weighted regression and GIS data.
Look Before You Leap: Comparison and Profiles of Hotel Price Determinants in Four European Markets
- Published in the International Journal of Hospitality Management in 2023.
- Contributors: María D. Illescas-Manzano, Sergio Martinez-Puertas, Manuel Sanchez-Perez, Ann M. Torres.
- Likely involves a comparative analysis of hotel price determinants across four European markets.
Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
- Published in Mathematics in 2022.
- Contributors: Maria del Mar Rueda, Sergio Martinez-Puertas, Luis Castro-Martin.
- Discusses methods to mitigate self-selection bias in estimation of distribution functions and quantiles.
Reduction of Optimal Calibration Dimension with a New Optimal Auxiliary Vector for Calibrated Estimators of the Distribution Function
- Published in Mathematical Methods in the Applied Sciences in 2022.
- Contributors: Sergio Martinez, Maria del Mar Rueda, Maria Dolores Illescas.
- Likely presents a technique for reducing the dimensionality of calibration while improving the accuracy of distribution function estimators.
Research Timeline
The individual’s research timeline highlights key milestones and achievements throughout their academic and professional career. This may include the completion of degrees, participation in research projects, publication of significant works, and other notable events that have shaped their research trajectory.
Collaborations and Projects
The individual has collaborated with other researchers and institutions on various projects, both nationally and possibly internationally. These collaborations have allowed them to leverage expertise from diverse disciplines and contribute to interdisciplinary research efforts. They have also been involved in projects funded by public and private entities, further enhancing their impact and visibility in the academic community.
