José Mira McWilliam is Associate professor of Statistics in Universidad Politécnica de Madrid (1996).Previously: Research Fellowship from the Spanish Utilities Unidad Eléctrica (UNESA) in Universidad Politécnica de Madrid (1986-1990). Teaching Assistant in Universidad Carlos III de Madrid (1990-1993). Assistant professor of Statistics in Universidad Politécnica de Madrid(1993-1996)
Background Nuclear Engineering (1986) - Universidad Politécnica de Madrid PhD in Applied Statistics (1995) - Universidad Politécnica de Madrid
Research Interests: Classification and Regression Trees - CART and extensions, Statistical Modeling for Road Safety, Bayesian Methods, Monte Carlo Methods, Statistical Modelling of Computer Experiments.
Teaching: Statistics and Design of Experiments and Regression in B.S. In Engineering. Path Simulation and Varianc e Reduction Methods, in Masters in Industrial Engineering ( 2014-2015).
1) Badea, F., Mira, J., Alcalá, E. and Aparicio, F., (2014), "A Bayesian Kriging regression for the accuracy improvement of beam-modeled T-Junctions of buses and coaches structures with a methodology based on FEM behavioral analysis", International Journal of Automotive Technology, vol. 15(6), 1027-1041.
2) Dadashova, B., Arenas, B., Mira, J. and Aparicio, F., (2014), "Explanatory and prediction power of two macro models. An application to van involved accidents in Spain", Transport Policy, vol. 32, 203-217.
3) González, C., Mira, J. and Juárez, I., (2015), "Important variable assessment and electricity price forecasting based on regression tree models: classification and regression trees, bagging and random forests", IET generation, Transmission and Distribution, vol. 9, issue 11.