1. Research Group in APPLIED STATISTICAL AND CLASSIFICATION TECHNIQUES (GITECA-UCLM).
Main researcher.
Research lines:
Complexity Analysis of Classification Problems
Calibration and validation of mathematical models
Statistical Classification using simple and combined classifiers
Regional Economic Situation
Mathematical Statistics
Robust Statistics
Uncertainty with respect to the data-generating model
Operations Research. Network and Graph Theory
Classifier combination methods
Statistical methods for quality control and quality improvement
Modelling energy systems and decision support systems
Prediction of business failure
Artificial Neural Networks
Statistical software and statistical computing
Environmental Economics
Inside this group, I lead the Tagus River research team: Towards a Holistic Approach of its Problems and Solutions-University of Castilla-La Mancha. Research lines: Ecology, Economy, Sociology, Phisical and Human Geography, Legal Aspects (https://blog.uclm.es/grupotajo/). Currently, the activity of this group is included in Cátedra del Tajo UCLM-Soliss (https://catedradeltajo.es).
2. Research Group in Elections and Public Opinion-University of Valencia
Group member
http://www.uv.es/uvweb/applied_economics_department/en/research/research-groups/elections-public-opinion/group-members-1285890449690.html
The research group in Elections and Public Opinion is attached to the Department of Applied Economics at the University of Valencia (Spain) and aims at analyzing, studying and finding solutions to all issues and questions related to electoral processes and/or the measurement and monitoring of public opinion, applying the most advanced quantitative techniques.
The most relevant research fields of the group include the following: the generation of electoral predictions, inference of individual voting behavior, analysis of polls and surveys, the search of new methodological approaches to improve (reducing costs) the quality of sampling methods, semantic analysis of opinions and monitoring of the internet sentiment, the study of the consequences of non-response and of the biases introduced during the whole inference process, the solution to the gaps in the databases, and the integration and pooling of local and global information to obtain multilevel responses.
The approach used in the research group in Elections and Public Opinion is open, not being limited by any particular methodological tendency, and makes extensive use of whatever sources of information. Thus, we use classical and Bayesian techniques, we apply from simple linear regression models to complex approaches based on neural networks, wavelets or auto-binomial models, we use the spatial and/or temporal component of the data explicitly, we perform simulation via Markov chain Monte Carlo or directly by Monte Carlo methods, and we introduce in our models survey data, reported election results, news reports, internet messages and/or official statistics.
The members of the group are open to working with other research groups, companies and institutions and encourage interested parties to contact us in order to explore possible avenues of collaboration.