David Valentín Conesa Guillén

David Valentín Conesa Guillén is a Full Professor in the Department of Statistics and Operations Research within the Faculty of Mathematics at the University of Valencia. He is an active researcher and a key member of the Valencia Bayesian Research Group (VABAR), focusing on advanced statistical methodologies and their applications.

His primary research interests encompass Bayesian Statistics, Statistical Modeling, Operations Research, Epidemiological Modeling, Spatial Statistics, and Ecological Statistics. His work bridges theoretical development with practical applications in public health, environmental science, and financial systems.

The trends in his recent publications reveal a strong emphasis on developing and applying Bayesian hierarchical models to complex real-world problems. Key areas include dynamic forecasting of influenza outbreaks, modeling spatial distributions of ecological and bioclimatic data, correcting biases in ecological survival estimates, and analyzing efficiency in sectors like banking and higher education. His methodology frequently involves advanced computational techniques like the Integrated Nested Laplace Approximation (INLA).

• PhD in Statistics, University of Valencia (2000)
• Thesis: "Inferencia y predicción en colas con ingresos o servicios en grupos"
• Supervised by Dr. Carmen Armero Cervera

David Conesa has supervised academic work, as indicated by his role as a thesis advisor. His research has been supported by collaborative projects, leading to publications in top-tier journals such as Bayesian Analysis, European Journal of Operational Research, and Journal of Agricultural, Biological, and Environmental Statistics. He has extensive collaborations with researchers across Spain and internationally.

His research is conducted within the VABAR (Valencia Bayesian Research Group), a collaborative team dedicated to Bayesian methodology and its applications. This group provides a platform for interdisciplinary projects and the training of future statisticians.